Fire Fighting EngineerJobs - Doha Qatar

Role Purpose<br><br>The Data Platform Consultant configures and supports client data, analytics or catalogue platforms within approved architecture, security and operational controls. The role helps translate platform requirements into environments, access models, configurations, integrations, monitoring and deployment arrangements that are reliable, supportable and aligned with client delivery priorities.<br><br>The consultant works with architects, engineers, security teams, infrastructure specialists, vendors and client administrators. It may perform authorised configuration and implementation activities, but client personnel retain production ownership, privileged authority and final change approval. The role is expected to leave complete configuration records, support procedures, service evidence and knowledge transfer so the client can operate and govern the platform after the engagement.<br><br>Key Responsibilities<br><br>Assess platform requirements, existing environments, integrations, operating constraints, user groups and service expectations. Support platform selection and implementation planning through evidence-based functional and non-functional evaluation. Configure approved environments, workspaces, connections, roles, permissions and platform services. Implement integrations with source systems, identity services, catalogues, analytical tools or data pipelines as authorised. Apply security, privacy, classification, logging, encryption and privileged-access requirements. Establish monitoring, alerting, capacity, performance and service-level evidence for platform operation. Support backup, recovery, continuity and environment-restoration procedures relevant to the platform. Manage configuration records, versioning, release notes and controlled deployment through client change processes. Troubleshoot implementation defects, coordinate vendor support and document root causes and resolutions. Validate platform behaviour against approved requirements and support user or operational acceptance. Develop administration guides, runbooks, support models and escalation procedures. Train client administrators and users and complete a structured operational handover.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree or diploma in information technology, computer science or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 3-7 years administering enterprise data, analytics, catalog or cloud platforms. Experience administering, configuring or implementing enterprise data, analytics, catalogue or cloud platforms. Experience with identity, access, integration, monitoring, deployment and operational support. Experience working within formal change, security and production-access controls. Experience coordinating with vendors and transferring platforms to client operations.<br><br>Technical and Domain Knowledge<br><br>Enterprise or cloud data-platform administration. Environment, workspace and configuration management. Identity, roles, permissions and privileged-access controls. Platform integration, connectivity and service configuration. Monitoring, logging, alerting, capacity and performance management. Backup, recovery and continuity procedures. Release, change and incident-management practices. Operational documentation, support models and vendor coordination.<br><br>Core Competencies<br><br>Platform administration. Identity and access. Monitoring. Change and release management. Backup and recovery. User support. Operational discipline. Configuration accuracy. Service orientation. Troubleshooting. Gathering platform requirements and documenting configuration decisions. Explaining technical constraints and options to client stakeholders. Working safely within controlled access and change processes. Producing test evidence, runbooks and support documentation. Coordinating vendors, infrastructure, security and delivery teams. Demonstrating platform functions and training administrators. Supporting transition without assuming client production ownership.<br><br>Preferred Certifications<br><br>Relevant platform administrator credential Cloud administrator certification IT service-management certification<br><br>Focus areas<br><br>Platform administration Identity and access Monitoring<br><br>Ready to apply for this role?<br><br>Apply for Data Platform Consultant

Role Purpose<br><br>The Data Architecture Consultant develops client data-architecture recommendations, models, standards and transition designs that connect business needs with secure and implementable technology. The role documents how data is created, organised, integrated, stored, shared and used, and helps clients move from current-state fragmentation to a coherent target architecture.<br><br>The consultant works with business experts, governance teams, security specialists, engineers and platform owners to ensure that architecture decisions reflect definitions, quality, ownership, interoperability, privacy, resilience and operational constraints. The role prepares design options and recommendations for client approval and supports implementation teams with traceable specifications. It does not exercise the client's formal architecture authority. Strong candidates combine modelling depth with the ability to explain trade-offs, dependencies and transition steps to non-technical stakeholders.<br><br>Key Responsibilities<br><br>Assess current data sources, stores, flows, interfaces, platforms, models, standards and architecture constraints. Develop architecture principles and current-state, target-state and transition-state views. Create or review conceptual, logical and physical data models aligned with business definitions and metadata. Define data domains, subject areas, relationships, ownership boundaries and authoritative sources. Develop integration, interoperability, API, exchange and pipeline design recommendations. Incorporate data quality, master-data, metadata, lineage, security, privacy, retention and resilience requirements into designs. Document architecture decisions, options, trade-offs, assumptions, risks and dependencies. Facilitate architecture and modelling workshops with business and technical stakeholders. Review solution and vendor designs against approved principles, requirements and target architecture. Support technical specifications, implementation sequencing and transition-roadmap development. Validate delivered designs and implementation evidence and identify deviations requiring client decision. Provide model walkthroughs, documentation and knowledge transfer to client architecture and delivery teams.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in computer science, data engineering, information systems or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 6-10 years in data architecture, data modeling, solution architecture or data engineering. Experience in enterprise architecture, data architecture, information architecture or data modelling. Experience developing current-state and target-state designs and supporting implementation roadmaps. Experience working with integration, data platforms, metadata, quality and security requirements. Experience presenting architecture options to business and technology stakeholders.<br><br>Technical and Domain Knowledge<br><br>Data-architecture principles, viewpoints and governance. Conceptual, logical and physical data modelling. Data domains, authoritative sources and ownership boundaries. Integration, APIs, data exchange, pipelines and interoperability. Metadata, lineage, cataloguing and model traceability. Data quality and master/reference-data architecture. Security, privacy, classification, retention and resilience by design. Cloud, on-premises and hybrid platform patterns.<br><br>Core Competencies<br><br>Data modeling. Architecture methods. Integration and APIs. Database and platform design. Security-by-design. Stakeholder communication. Conceptual thinking. Modelling precision. Systems analysis. Design communication. Running architecture discovery and modelling workshops. Translating business requirements into traceable technical designs. Explaining technical trade-offs to non-technical stakeholders. Producing clear diagrams, specifications and decision records. Reviewing solution evidence and challenging unsupported design assumptions. Working effectively with vendors and multidisciplinary teams. Supporting formal client architecture decisions without assuming approval authority.<br><br>Preferred Certifications<br><br>TOGAF Enterprise Architecture Practitioner CDMP Practitioner with Data Modeling and Design specialty<br><br>Focus areas<br><br>Data modeling Architecture methods Integration and APIs<br><br>Ready to apply for this role?<br><br>Apply for Data Architecture Consultant

Role Purpose<br><br>The Metadata & Data Catalog Consultant helps clients make their data understandable, discoverable and governable. The role establishes practical metadata standards, business glossaries, data inventories, catalogue entries, lineage records and stewardship workflows that connect business meaning with technical assets. It supports both manual foundations and technology-enabled catalogue implementation.<br><br>The consultant works with business experts, Data Owners, Data Stewards, architects, engineers, quality specialists and platform teams to define what metadata is required, who maintains it and how its quality will be monitored. The role may evaluate catalogue tools and prepare recommendations, but client procurement and approval decisions remain with authorised stakeholders. The expected outcome is an operational metadata capability that improves discovery, shared understanding, impact analysis, quality management and trusted reuse.<br><br>Key Responsibilities<br><br>Assess existing glossaries, inventories, dictionaries, catalogues, models, lineage records and metadata-management practices. Define business, technical and operational metadata requirements and minimum mandatory fields. Develop metadata standards, naming conventions, definitions, ownership rules and quality criteria. Facilitate business-glossary workshops and reconcile duplicate, ambiguous or conflicting terms. Build or quality-review dataset, attribute, system, report, interface and data-product catalogue entries. Document business and technical lineage and connect metadata to models, rules, controls and authoritative sources. Define stewardship workflows for creation, review, approval, publication, maintenance and retirement of metadata. Support metadata-quality checks, issue management, completeness reporting and periodic review. Gather functional and non-functional requirements for catalogue technology and evaluate tool options transparently. Plan metadata migration, onboarding, integration and adoption activities for selected tools or platforms. Develop guidance, demonstrations and role-based training for business and technical users. Transfer catalogue administration and stewardship routines to client teams with clear documentation.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in information systems, library/information science, data management or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 3-7 years in metadata, catalog, information architecture, business analysis or data governance. Experience in metadata management, data cataloguing, information architecture, business analysis or data governance. Experience developing glossaries, data dictionaries, inventories, lineage or catalogue content. Experience gathering metadata requirements and working with business and technical stakeholders. Exposure to catalogue platforms, metadata ingestion or tool selection is preferred.<br><br>Technical and Domain Knowledge<br><br>Business, technical and operational metadata concepts. Business glossaries, data dictionaries and catalogue structures. Metadata standards, naming conventions and ownership workflows. Data lineage, models, interfaces and impact analysis. Metadata quality, completeness and issue management. Cataloguing requirements, tool evaluation and implementation planning. Integration between metadata, quality, master data, architecture and analytics. SQL or other data-inspection skills sufficient to validate technical metadata.<br><br>Core Competencies<br><br>Business glossary. Metadata standards. Catalog tools. Lineage. Data modeling basics. Stakeholder facilitation. Semantic precision. Taxonomy thinking. Curiosity. Detail orientation. Facilitating definition and glossary workshops. Eliciting requirements from business and technical stakeholders. Resolving terminology conflicts through evidence and agreed governance. Producing precise inventories, dictionaries, standards and procedures. Evaluating tools without bias towards a particular vendor. Demonstrating catalogue processes and training users. Maintaining traceability between metadata requirements and delivered content.<br><br>Preferred Certifications<br><br>CDMP Associate or Practitioner, with Metadata specialty preferred<br><br>Focus areas<br><br>Business glossary Metadata standards Catalog tools<br><br>Ready to apply for this role?<br><br>Apply for Metadata & Data Catalog Consultant

Role Purpose<br><br>The Data Quality Consultant helps clients understand, measure and improve the fitness of data for operational, analytical and public-service use. The role profiles data, defines quality dimensions and rules, establishes thresholds and monitoring, investigates root causes and supports sustainable remediation and issue-management processes.<br><br>The consultant works with Data Owners, Data Stewards, business experts, architects, engineers and system teams to ensure that quality expectations are tied to real business needs and authoritative reference sources. The role prepares evidence, recommendations and remediation plans, but client owners remain accountable for accepting quality risks and approving corrective actions. Effective delivery requires both analytical capability and facilitation skill so that technical findings become practical ownership, process and control improvements.<br><br>Key Responsibilities<br><br>Identify critical datasets, attributes, decisions and business processes requiring data-quality management. Profile data to identify completeness, validity, consistency, uniqueness, timeliness, accuracy and accessibility issues. Define data-quality rules, thresholds, reference sources, calculation logic and exception conditions with business stakeholders. Develop quality assessment plans, rule registers, scorecards, monitoring specifications and evidence requirements. Calculate and validate quality results and explain the implications for operational and analytical use. Maintain data-quality issue registers and support transparent prioritisation based on impact, urgency, frequency, sensitivity and complexity. Facilitate root-cause analysis across process, people, system, integration and data-design factors. Develop remediation plans with owners, target dates, dependencies, validation steps and closure evidence. Coordinate quality controls with metadata, master data, architecture, engineering, security and analytics teams. Define dashboards and reporting routines for ongoing monitoring and escalation. Validate remediation outcomes and distinguish corrected records from resolved root causes. Train client teams to maintain rules, interpret measures, investigate issues and govern exceptions.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in data science, statistics, computer science, information systems or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 4-8 years in data quality, data analysis, testing, governance or data engineering. Experience in data quality, data analysis, data governance, business intelligence or related data-management work. Practical experience profiling data and defining or testing quality rules and thresholds. Experience supporting root-cause analysis, remediation and quality monitoring. Experience explaining quantitative findings to business and technical stakeholders.<br><br>Technical and Domain Knowledge<br><br>Data-quality dimensions, rules, thresholds and measurement methods. Data profiling, anomaly detection and reference-data comparison. Issue prioritisation, root-cause analysis and remediation tracking. Quality scorecards, monitoring, dashboards and escalation. SQL and analytical techniques for validating data. Metadata, lineage, master data and architecture dependencies. Business-rule documentation and control evidence. Quality considerations for operational, analytical and shared data.<br><br>Core Competencies<br><br>Data profiling. Rule design. Root-cause analysis. SQL and analysis. Issue prioritization. Quality monitoring. Analytical rigour. Root-cause thinking. Evidence discipline. Continuous improvement. Facilitating rule-definition and root-cause workshops. Explaining calculations, evidence and limitations clearly. Writing precise rules, findings and remediation actions. Working constructively with data owners, stewards and technical teams. Challenging unsupported assumptions about data fitness. Prioritising issues based on business impact rather than volume alone. Transferring repeatable monitoring and investigation practices to clients.<br><br>Preferred Certifications<br><br>CDMP Associate or Practitioner, with Data Quality specialty preferred ISTQB CTFL where testing is material<br><br>Focus areas<br><br>Data profiling Rule design Root-cause analysis<br><br>Ready to apply for this role?<br><br>Apply for Data Quality Consultant

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

Do you thrive in the ambiguity and possibility of early stage product design? We're looking for a bilingual Product Designer to help build intuitive, AI-driven experiences for government and enterprise clients across the Middle East.<br><br>At Scale AI, we're building the future of AI through high-quality data and world-class design. Our products power critical decisions for businesses and governments worldwide.<br><br>You will:<br><br>Lead 0-1 Design: Own the entire design process — from raw concept to final implementation — working directly with PMs and engineers to ship impactful products quickly Develop Concepts: Extract key insights from PM and client feedback and translate them into compelling concepts Manage Expectations: Respond effectively to multiple stakeholders and align them around a clear design direction Communicate and Prototype Visually: Deliver polished verbal communication and visual storytelling using AI tools like Cursor and Claude Design to bring concepts to life Design with Data: Make design decisions informed by research, data, and user insights<br><br>You're a great fit if you:<br><br>Are fluent in Arabic and English (a hard requirement for this role) Excel at navigating ambiguity in early stage products Have a mix of startup and established company experience; at least one role at a well-respected company with a strong product development culture Have experience in B2B products for government or enterprise clients Want your work to shape the role of AI in modern business applications Have prior work experience in the GCC (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE) Are based in the GCC or open to relocating Have hands-on experience with AI-powered design platforms such as Cursor and Claude Have a degree in HCI, Computer Science, or Graphic Design Have a strong portfolio demonstrating polish, professional presentation, and clear visual storytelling to broad audiences<br><br>Nice to haves:<br><br>Experience at notable AI companies Technical background<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Location: Doha, Qatar (On-site) Duration: 12 Months (Extendable)<br>Description:<br>Please apply only if you are open to relocating and working onsite in Doha, Qatar for a minimum of 12 months. Candidates already in Qatar with a valid work permit are encouraged to apply.<br>We are hiring a UAT Tester to work on a project for one of our clients, a leading regional bank. This is a hands-on testing role inside a busy cards and payments delivery team, and it is squarely for people who have tested card products before, not general software QA professionals looking to move into the domain.<br>You will lead User Acceptance Testing across new card launches, changes to existing card propositions, and compliance-driven updates. The job is to make sure that what reaches the customer is reliable, compliant, and works exactly as intended, backed by clean, evidence-based testing. It sits at the point where careful testing turns directly into customer trust, regulatory confidence, and faster, more confident releases.<br>We are looking for someone with 5 to 8 years of UAT or QA experience in banking and payments, with real delivery on card products behind them.<br>The work itself<br>Planning and running UAT is the core of the role. You will take business requirements and turn them into structured test scenarios, test cases, and test data covering the full spread of card functionality: issuance, authorisations, settlements, disputes, and rewards or loyalty.<br>A large part of the job is validating transactions end to end. You will run integrated testing across the card management system, switching, scheme connectivity, and partner systems, covering ATM, POS, and e-commerce journeys, making sure a transaction behaves correctly at every hop.<br>Defect management runs throughout. You will log, triage, and track defects through to closure, and run disciplined regression testing after every fix and release candidate so that nothing already working quietly breaks.<br>You will keep test cycles moving by working closely with business analysts, developers, QA engineers, and business users, unblocking issues quickly when they surface.<br>Finally, you will produce the evidence that lets a release go live: clear UAT execution reports, requirement traceability matrices, and formal sign-off before anything reaches production. That includes making sure launch dependencies such as card profiles, limits, KYC and AML flows, settlement, and fee structures are all delivered and tested to specification.<br>What you need to have Mandatory:<br>5 to 8 years in UAT or QA testing within banking and payments, with demonstrable delivery on card product launches, enhancements, and compliance-driven changes Hands-on UAT experience across card issuance, transaction processing, settlement, disputes, and rewards or loyalty, spanning credit, debit, and prepaid products Working proficiency with a Card Management System such as Way4, TSYS PRIME, or an equivalent market-standard platform Proficiency with defect-management tooling: Azure Dev Ops and/or JIRARequirement traceability and UAT reporting discipline, with a track record of owning business sign-off Professional proficiency in English Immediately available and able to work onsite in Doha<br>Preferred:<br>Arabic language ability Exposure to clearing and settlement, reconciliation, chargebacks, and fraud management Familiarity with card-scheme rules and banking compliance obligations, ideally in a GCC context<br>The kind of tester we want<br>You should be able to take a business requirements document apart and turn it into complete, traceable test coverage, so nothing gets tested by accident and nothing important gets missed. You should be comfortable across the full card lifecycle, from issuance through to how transactions clear, settle, and get disputed, and you should understand why compliance and scheme rules matter to a card release rather than treating them as boxes to tick. Just as important is temperament: the discipline to keep a clean audit trail of test evidence, and the ability to hold your nerve and keep stakeholders moving when a release is under time pressure.<br>What success looks like<br>Very few defects slipping through to production after a card release A tight, predictable path from the start of UAT to business sign-off Full traceability, with business requirements mapped to the test cases that cover them Defects closed quickly and verified, not left hanging Releases that pass UAT first time, without major rework A quiet launch window, with minimal customer-impacting issues after go-live

We’re looking for a sharp financial whiz to join our fast-moving Saa S team. As our Product Profitability and Fin Ops Specialist, you’ll own the story behind the numbers—making sense of pricing, revenues, and the underlying cloud costs that drive our products. Your insights will fuel better, faster decisions by Product and Ops teams, pushing our AI-driven sustainability solutions to grow smarter, stronger, and more efficiently.<br><br>If you love digging into data, building slick dashboards, and turning complex financial flows into clear action, this is your playground. Join us and be a key player shaping profitable, cost-aware product innovation in a mission-driven company.<br><br>Jobs To Be Done<br><br>Build and fine-tune pricing and tariff models that reflect market realities and business goals. Support the product teams when they need defining a financial report for their products: be the financial whizz of our Energy tools. Master our cloud and AI service spending, hunting down savings by right-sizing resources, eliminating waste, and optimizing usage. Implement and enforce smart cloud governance, including a rock-solid tagging strategy, so every dollar of cloud spend has an owner. Dig into total costs—including cloud infrastructure—to find savings and margin wins, then partner with the team to make it happen. Track and map every dollar flowing in and out of our product portfolio for full transparency. Work hand-in-hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices. Help Operations decode cost drivers and resource use for maximum efficiency. Own financial KPIs and deep-dive P&L reviews for both individual products and our full lineup. Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.<br>Education Requirements<br><br>Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field. Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued. Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.<br><br>Experience<br><br>5+ years of experience in technical delivery, Saa S implementation, solutions architecture, or technical account management. Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements. Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping. Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.<br><br>Skills And Competencies<br><br>Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule. Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers. Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data. Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders. Problem Solving: A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.<br><br>KPIs<br><br>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights. Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope. Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases. Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience. Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.<br><br>Why Us<br><br>As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world’s most pressing environmental challenges.<br><br>Información Movilidad<br><br>Tenga en cuenta que cualquier solicitante que no sea ciudadano del país de la vacante estará sujeto al cumplimiento de los requisitos de inmigración aplicables para trabajar legalmente en ese país.<br><br>julio-31-2026

We’re looking for a sharp financial whiz to join our fast-moving Saa S team. As our Product Profitability and Fin Ops Specialist, you’ll own the story behind the numbers—making sense of pricing, revenues, and the underlying cloud costs that drive our products. Your insights will fuel better, faster decisions by Product and Ops teams, pushing our AI-driven sustainability solutions to grow smarter, stronger, and more efficiently.<br><br>If you love digging into data, building slick dashboards, and turning complex financial flows into clear action, this is your playground. Join us and be a key player shaping profitable, cost-aware product innovation in a mission-driven company.<br><br>Jobs To Be Done<br><br>Build and fine-tune pricing and tariff models that reflect market realities and business goals. Support the product teams when they need defining a financial report for their products: be the financial whizz of our Energy tools. Master our cloud and AI service spending, hunting down savings by right-sizing resources, eliminating waste, and optimizing usage. Implement and enforce smart cloud governance, including a rock-solid tagging strategy, so every dollar of cloud spend has an owner. Dig into total costs—including cloud infrastructure—to find savings and margin wins, then partner with the team to make it happen. Track and map every dollar flowing in and out of our product portfolio for full transparency. Work hand-in-hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices. Help Operations decode cost drivers and resource use for maximum efficiency. Own financial KPIs and deep-dive P&L reviews for both individual products and our full lineup. Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.<br>Education Requirements<br><br>Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field. Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued. Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.<br><br>Experience<br><br>5+ years of experience in technical delivery, Saa S implementation, solutions architecture, or technical account management. Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements. Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping. Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.<br><br>Skills And Competencies<br><br>Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule. Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers. Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data. Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders. Problem Solving: A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.<br><br>KPIs<br><br>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights. Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope. Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases. Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience. Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.<br><br>Why Us<br><br>As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world’s most pressing environmental challenges.<br><br>Información Movilidad<br><br>Tenga en cuenta que cualquier solicitante que no sea ciudadano del país de la vacante estará sujeto al cumplimiento de los requisitos de inmigración aplicables para trabajar legalmente en ese país.<br><br>julio-31-2026

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The QA/QC Inspector plays a vital role in our organization, overseeing construction activities and maintaining the highest quality standards. This position is responsible for conducting inspections, testing, and ensuring compliance with project requirements, industry best practices, and international regulations. The Inspector will work closely with the QA GEC Supervision team to uphold the reputation of WSP International LLC-Qatar Branch.</p><p>Conduct comprehensive inspections of construction activities, including roads, highways, and infrastructure works, to verify compliance with Ashghal specifications and project quality plans. Perform material testing and analysis to ensure adherence to international standards and project-specific requirements. Document inspection results, test data, and any non-conformities, providing detailed reports to the project team for further action. Monitor construction progress, identify potential quality issues, and implement corrective measures to maintain project quality. Collaborate with project engineers, contractors, and stakeholders to ensure a unified and effective quality control approach. Maintain accurate records of inspection activities and quality-related documentation for future reference and audits. Provide timely feedback and recommendations to improve construction processes, enhance project quality, and ensure client satisfaction. Stay updated with the latest industry standards, regulations, and best practices in road and infrastructure construction. Assist in developing and implementing tailored quality control plans for each project, ensuring they meet specific requirements. Promote a safe working environment by identifying and addressing potential hazards during construction activities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Civil Engineering, Construction Management, or a related field is required. A minimum of 15 years of experience in QA/QC inspection for road and infrastructure construction projects is essential. In-depth knowledge of Ashghal specifications and relevant international standards for road and infrastructure construction. Proficiency in using inspection equipment, testing instruments, and relevant software for data analysis. Excellent analytical skills to identify and address quality issues effectively, ensuring project compliance. Strong communication and collaboration abilities to work effectively with diverse project teams and stakeholders. Ability to work independently, manage time efficiently, and meet tight project deadlines. Valid driving license with a willingness to travel to construction sites as required for inspections. Proficiency in MS Office and experience with construction management software is preferred. Professional certification in QA/QC inspection or a related field is an advantage, demonstrating a commitment to quality.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A GRC Senior Analyst / Specialist supports the governance, risk, and compliance framework to ensure alignment with national cyber regulations, security policies and government assurance standards. The role focuses on identifying, assessing and managing cyber and information security risks across systems and operations, while ensuring compliance with applicable regulatory frameworks, security controls and audit requirements. It involves maintaining risk registers, supporting security assessments and tracking remediation of vulnerabilities and control gaps. The position also works closely with security, IT, and government stakeholders to strengthen cybersecurity governance, support accreditation processes and ensure continuous compliance with national cybersecurity mandates. Core Activities: Provide expert consultation on Governance, Risk, and Compliance (GRC) matters. Review, assess, and enhance enterprise cybersecurity architecture. Conduct reviews of QCSF evidence and provide compliance recommendations. Deliver cybersecurity consultancy and practical security solutions to internal stakeholders. Identify cybersecurity risks and recommend mitigation strategies. Support the implementation of cybersecurity policies, standards, and best practices. Collaborate with business and technical teams to improve cybersecurity posture. Prepare reports, assessments, and recommendations for management. Stay updated with emerging cybersecurity threats, technologies, and regulatory requirements. Key Responsibilities: Act as a subject matter expert for cybersecurity governance, risk, and compliance. Review and improve enterprise cybersecurity architecture to ensure alignment with business and security objectives. Evaluate compliance against the Qatar Cyber Security Framework (QCSF) and recommend corrective actions. Provide strategic cybersecurity guidance to stakeholders across the organisation. Develop and recommend cybersecurity controls and solutions based on risk assessments. Support cybersecurity audits, assessments, and compliance activities. Ensure cybersecurity initiatives align with organisational policies and industry standards. Produce high-quality documentation, reports, and technical recommendations. Mentor stakeholders on cybersecurity best practices where required</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: Bachelor s or Master s degree in Cybersecurity, Information Security, Computer Science, Information Technology, or a related discipline. Experience: Minimum of 10 years experience in cybersecurity, with strong expertise in Governance, Risk &amp; Compliance (GRC), enterprise cybersecurity architecture and regulatory compliance. Mandatory Certifications: CIIP (Certified Information Infrastructure Professional) CISM (Certified Information Security Manager) Preferred Certifications: GICSP (Global Industrial Cyber Security Professional) CCISO (Certified Chief Information Security Officer) Skills &amp; Competencies: Strong knowledge of Governance, Risk &amp; Compliance (GRC) frameworks. Extensive experience with Enterprise Cybersecurity Architecture. Thorough understanding of the Qatar Cyber Security Framework (QCSF). Strong cybersecurity consulting and advisory skills. Excellent analytical and problem-solving abilities. Ability to assess risks and recommend effective security solutions. Excellent communication, stakeholder management, and report-writing skills. Ability to work independently and collaboratively within multidisciplinary teams. Strong understanding of international cybersecurity standards and best practices. Language Proficiency: Proficiency in English &amp; Arabic is required.</p><p></p></section>

Make an impact with NTT DATA<br><br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.<br><br>Your day at NTT DATA<br><br>As a Senior Solutions Architect at NTT DATA, you will help define and deliver high‑impact technology architectures for our strategic clients in Qatar. This role places you at the center of customer discussions, working closely with senior IT stakeholders to shape solution direction across cloud, data center, security, and enterprise platforms. Your ability to translate business needs into integrated, scalable architectures will play a key part in driving client transformation initiatives.<br><br>A major focus of the role involves leading architecture design efforts across multi‑domain, hybrid, and multi‑vendor environments. Rather than working in isolation, you will collaborate with sales, delivery teams, and global SMEs to craft solutions that balance strategy, cost, performance, and long‑term sustainability. Whether facilitating workshops, guiding future‑state architecture definitions, or evaluating technology options, your influence will be felt across the engagement lifecycle.<br><br>Presales leadership is another essential aspect of the position. From responding to RFPs and RFIs to presenting architecture concepts to both technical and non‑technical audiences, your work will help shape the value propositions we bring to market. You will contribute detailed HLDs, LLDs, diagrams, BOMs, and scopes of work that clearly communicate solution intent and delivery expectations.<br><br>Governance and architecture assurance also fall within your responsibility. You’ll ensure that designs meet industry best practices, adhere to NTT DATA standards, and comply with security and operational requirements. Supporting design reviews, validating solution integrity, and contributing reusable architectural frameworks for the Qatar region will be part of your day‑to‑day impact.<br><br>Innovation plays an ongoing role in this position. Staying ahead of trends in cloud, data center, virtualization, automation, networking, AI/ML enablers, and security will allow you to influence our go‑to‑market offerings and help clients adopt modern technologies with confidence.<br><br>Collaboration is fundamental to success in this role. Expect to work closely with cybersecurity, network, applications, and delivery teams, while also providing mentorship to junior architects and engineers when needed—offering leadership without shifting into a full people‑management track.<br><br>To thrive in this role, you need to have:<br><br>10–18 years of experience in solution architecture, cloud/infrastructure design, or enterprise architecture. Hands‑on background designing solutions across:Data center & virtualization platforms (VMware, Hyper‑V, Nutanix) Cloud environments (Azure, AWS, GCP, hybrid models) Networking & security fundamentals Backup/DR, monitoring, and automation Strong understanding of multi‑vendor ecosystems (Microsoft, VMware, Cisco, Dell, etc.).<br><br>Architecture & Presales Skills<br><br>Proven ability to produce HLDs, LLDs, architectural blueprints, and detailed design artifacts. Solid presales experience including workshops, PoCs, client presentations, and RFP responses. Ability to articulate business value and technical differentiators in a clear and compelling way.<br><br>Consulting & Soft Skills<br><br>Excellent communication, negotiation, and influencing skills. Strong stakeholder management, especially with senior IT decision‑makers. Ability to work effectively in fast‑paced, multi‑project environments.<br><br>Qualifications<br><br>Bachelor’s degree in computer science, engineering, or a related field. Highly preferred certifications such as Azure Solutions Architect Expert, VMware VCP/VCAP, CCNP/CCDP, TOGAF, or related credentials.<br><br>Workplace type: <br><br>On-site Working<br><br>About NTT DATA<br><br>NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.<br><br>Equal Opportunity Employer<br><br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<br><br>Third parties fraudulently posing as NTT DATA recruiters<br><br>NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States.<br><br>We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale Gen AI Platform, a full stack product to build, test and deploy frontier AI agents.<br><br>Developing custom AI applications Building custom LLMsProviding high-quality training data for research and government institutions building LLMsDeveloping partnerships to foster regional talent growth and AI adoption<br><br>We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.<br><br>You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.<br><br>Responsibilities: <br><br>Lead design workshops with the client to define custom AI solutions Scope out new AI application use cases across various government entities Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively Stay up to date with latest research in applied AI and training custom LLMsScope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution Give regular progress updates to the client and Global Public Sector leadership<br><br>Minimum Qualifications: <br><br>4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products Strong technical background (STEM degree) and/or experience building technical software products Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro) Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams<br><br>Nice to haves:<br><br>Coding experience (Python) Proficiency in Arabic, both written and spoken<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Make an impact with NTT DATA<br><br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.<br><br>Your day at NTT DATA<br><br>As a Senior Solutions Architect at NTT DATA, you will help define and deliver high‑impact technology architectures for our strategic clients in Qatar. This role places you at the center of customer discussions, working closely with senior IT stakeholders to shape solution direction across cloud, data center, security, and enterprise platforms. Your ability to translate business needs into integrated, scalable architectures will play a key part in driving client transformation initiatives.<br><br>A major focus of the role involves leading architecture design efforts across multi‑domain, hybrid, and multi‑vendor environments. Rather than working in isolation, you will collaborate with sales, delivery teams, and global SMEs to craft solutions that balance strategy, cost, performance, and long‑term sustainability. Whether facilitating workshops, guiding future‑state architecture definitions, or evaluating technology options, your influence will be felt across the engagement lifecycle.<br><br>Presales leadership is another essential aspect of the position. From responding to RFPs and RFIs to presenting architecture concepts to both technical and non‑technical audiences, your work will help shape the value propositions we bring to market. You will contribute detailed HLDs, LLDs, diagrams, BOMs, and scopes of work that clearly communicate solution intent and delivery expectations.<br><br>Governance and architecture assurance also fall within your responsibility. You’ll ensure that designs meet industry best practices, adhere to NTT DATA standards, and comply with security and operational requirements. Supporting design reviews, validating solution integrity, and contributing reusable architectural frameworks for the Qatar region will be part of your day‑to‑day impact.<br><br>Innovation plays an ongoing role in this position. Staying ahead of trends in cloud, data center, virtualization, automation, networking, AI/ML enablers, and security will allow you to influence our go‑to‑market offerings and help clients adopt modern technologies with confidence.<br><br>Collaboration is fundamental to success in this role. Expect to work closely with cybersecurity, network, applications, and delivery teams, while also providing mentorship to junior architects and engineers when needed—offering leadership without shifting into a full people‑management track.<br><br>To thrive in this role, you need to have:<br><br>10–18 years of experience in solution architecture, cloud/infrastructure design, or enterprise architecture. Hands‑on background designing solutions across:Data center & virtualization platforms (VMware, Hyper‑V, Nutanix) Cloud environments (Azure, AWS, GCP, hybrid models) Networking & security fundamentals Backup/DR, monitoring, and automation Strong understanding of multi‑vendor ecosystems (Microsoft, VMware, Cisco, Dell, etc.).<br><br>Architecture & Presales Skills<br><br>Proven ability to produce HLDs, LLDs, architectural blueprints, and detailed design artifacts. Solid presales experience including workshops, PoCs, client presentations, and RFP responses. Ability to articulate business value and technical differentiators in a clear and compelling way.<br><br>Consulting & Soft Skills<br><br>Excellent communication, negotiation, and influencing skills. Strong stakeholder management, especially with senior IT decision‑makers. Ability to work effectively in fast‑paced, multi‑project environments.<br><br>Qualifications<br><br>Bachelor’s degree in computer science, engineering, or a related field. Highly preferred certifications such as Azure Solutions Architect Expert, VMware VCP/VCAP, CCNP/CCDP, TOGAF, or related credentials.<br><br>Workplace type: <br><br>On-site Working<br><br>About NTT DATA<br><br>NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.<br><br>Equal Opportunity Employer<br><br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<br><br>Third parties fraudulently posing as NTT DATA recruiters<br><br>NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Make an impact with NTT DATA<br><br>Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.<br><br>Your day at NTT DATA<br><br>As a Senior Solutions Architect at NTT DATA, you will help define and deliver high‑impact technology architectures for our strategic clients in Qatar. This role places you at the center of customer discussions, working closely with senior IT stakeholders to shape solution direction across cloud, data center, security, and enterprise platforms. Your ability to translate business needs into integrated, scalable architectures will play a key part in driving client transformation initiatives.<br><br>A major focus of the role involves leading architecture design efforts across multi‑domain, hybrid, and multi‑vendor environments. Rather than working in isolation, you will collaborate with sales, delivery teams, and global SMEs to craft solutions that balance strategy, cost, performance, and long‑term sustainability. Whether facilitating workshops, guiding future‑state architecture definitions, or evaluating technology options, your influence will be felt across the engagement lifecycle.<br><br>Presales leadership is another essential aspect of the position. From responding to RFPs and RFIs to presenting architecture concepts to both technical and non‑technical audiences, your work will help shape the value propositions we bring to market. You will contribute detailed HLDs, LLDs, diagrams, BOMs, and scopes of work that clearly communicate solution intent and delivery expectations.<br><br>Governance and architecture assurance also fall within your responsibility. You’ll ensure that designs meet industry best practices, adhere to NTT DATA standards, and comply with security and operational requirements. Supporting design reviews, validating solution integrity, and contributing reusable architectural frameworks for the Qatar region will be part of your day‑to‑day impact.<br><br>Innovation plays an ongoing role in this position. Staying ahead of trends in cloud, data center, virtualization, automation, networking, AI/ML enablers, and security will allow you to influence our go‑to‑market offerings and help clients adopt modern technologies with confidence.<br><br>Collaboration is fundamental to success in this role. Expect to work closely with cybersecurity, network, applications, and delivery teams, while also providing mentorship to junior architects and engineers when needed—offering leadership without shifting into a full people‑management track.<br><br>To thrive in this role, you need to have:<br><br>10–18 years of experience in solution architecture, cloud/infrastructure design, or enterprise architecture. Hands‑on background designing solutions across:Data center & virtualization platforms (VMware, Hyper‑V, Nutanix) Cloud environments (Azure, AWS, GCP, hybrid models) Networking & security fundamentals Backup/DR, monitoring, and automation Strong understanding of multi‑vendor ecosystems (Microsoft, VMware, Cisco, Dell, etc.).<br><br>Architecture & Presales Skills<br><br>Proven ability to produce HLDs, LLDs, architectural blueprints, and detailed design artifacts. Solid presales experience including workshops, PoCs, client presentations, and RFP responses. Ability to articulate business value and technical differentiators in a clear and compelling way.<br><br>Consulting & Soft Skills<br><br>Excellent communication, negotiation, and influencing skills. Strong stakeholder management, especially with senior IT decision‑makers. Ability to work effectively in fast‑paced, multi‑project environments.<br><br>Qualifications<br><br>Bachelor’s degree in computer science, engineering, or a related field. Highly preferred certifications such as Azure Solutions Architect Expert, VMware VCP/VCAP, CCNP/CCDP, TOGAF, or related credentials.<br><br>Workplace type: <br><br>On-site Working<br><br>About NTT DATA<br><br>NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.<br><br>Equal Opportunity Employer<br><br>NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.<br><br>Third parties fraudulently posing as NTT DATA recruiters<br><br>NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Network Infrastructure Manager40,000 - 45,000 QAR<br>Network Systems Delivery• Creates high level plans, rules, and designs for networks and technology systems needed to support the business.• Makes plans for networks and communication systems, sets service level agreements, and organizes the Network infrastructure to meet these agreements.• Oversees networking and infrastructure projects, identifies and reduces risks, ensures projects are completed on time and with good quality, and makes sure resources are used effectively.• Negotiates agreements for network services, diagnoses issues, and takes action to improve service delivery.• Develop and implement strategic plans for network infrastructure that align with the company’s goals and objectives.• Provide visionary leadership to guide the evolution of the network infrastructure to meet future business needs.• Oversee the execution of large-scale network infrastructure projects, ensuring alignment with strategic objectives and business requirements.• Ensure projects are delivered on time, within budget, and to the highest quality standards.• Establish project governance frameworks and ensure adherence to best practices.• Drive continuous improvement and innovation within the network infrastructure domain.• Evaluate emerging technologies and trends to enhance network capabilities and performance.• Optimize existing infrastructure to improve efficiency, scalability, and reliability.• Communicate project status, risks, and outcomes effectively to stakeholders at all levels.• Lead, and develop a high-performing team of network engineers and project managers.• Ensure the team is equipped with the necessary skills and resources to succeed.• Identify, assess, and mitigate risks associated with network infrastructure projects and operations.• Develop and maintain strategic relationships with key vendors and partners.• Negotiate contracts and service level agreements (SLAs) to ensure optimal service delivery and value.• Monitor vendor performance and address any issues proactively.• Disaster recovery plans for testing of recovery procedures and ensures that the network and infrastructure meet all agreed performance targets and service levels.• Keeps track of the ICT market to learn about new technologies like cloud computing, Saa S, and data analytics. Evaluates their usefulness and potential value for the Organization.• Supervises professional, technical and support staff engaged in performing duties related to specialization.<br>Communication/Documentation Skill• Ability to clearly explain technical concepts to both technical and non-technical stakeholders.• Proficiency in creating accurate and accessible documentation for projects and procedures.• Skill in negotiating with vendors and resolving conflicts to ensure project success.• Communicate project status, issues, and recommendations to senior management and stakeholders clearly and concisely.• Essential skills for drafting comprehensive and effective RFPs, RFQs, and similar documents to facilitate successful vendor selection and project execution. Problem Solving Skills• Capable of leading and providing guidance to the team to resolve complex network infrastructure problems.• Capable to resolve issues escalated internally.<br>• Minimum 15 years of in managing enterprise level network environments, supporting large business organizations.• Extensive experience in designing, delivering, and operating large scale, branch wide, and multi site distributed network infrastructures.• Proven experience working in client operational environments with multi tenancy models, shared infrastructure, and service segregation requirements.• Strong understanding of network technologies, architectures, protocols, security, resilience, and industry best practices across core, data center, WAN, and access networks.• Demonstrated ability to balance deep technical expertise with managerial, operational, and strategic responsibilities.• Solid knowledge of project and program management methodologies, including planning, execution, risk management, and delivery governance.• Strong knowledge of financial management, budgeting, procurement processes including RFP preparation, technical evaluation, and vendor selection, as well as negotiation and management of complex technical contracts and SLAs.• Proven track record of strategic planning, service optimization, and continuous improvement in complex IT and network environments.• Strong leadership capability to manage, mentor, and develop multi disciplinary technical teams.• Excellent communication, stakeholder engagement, and negotiation skills, particularly in client facing and vendor managed environments.• Possession of a recognized bachelor’s or Master degree in computer science, Computer Information Systems, Information Systems Management, Computer Engineering or a related area.• Significant experience in network infrastructure management, typically 8+ years, supported by a minimum of 10 years of technical network experience in enterprise level, multi site and large business organization environments.• Relevant certifications such as CCIE (SP, R&S, Wireless, or Data Center) (Cisco Certified Internetwork Expert) is highly recommended.• PMP (Project Management Professional) certification or equivalent is plus.• Experience with Routing and switching, including protocols like TCP/IP, OSPF, and BGP.• Skill in using monitoring tools to oversee network performance and optimize efficiency.• Ability to diagnose and resolve network issues promptly.• Knowledge of capacity planning methodologies to ensure network scalability and performance.• Understanding of disaster recovery planning and implementation, ensuring network resilience.• Experience in managing relationships with network hardware/software vendors and service providers.• Familiarity with cloud computing concepts and integration of cloud services into network infrastructure.• Knowledge in Virtualization technologies like ACI, NSX, SD-WAN, SD-ACESS etc.• Knowledge in VPN Technologies like IPSec, DMVPN, GRE, GETVPN etc.• Proficiency in wireless networking, including 802.11 Standards, Wireless Controllers, RF Management, SSID Configuration, Wireless Security, Tunneling and Encryption.• Proficiency in LDP, L3VPN, L2VPN, VPLS, AToM, CsC, Inter-AS, MPLS-TE, and FRR.• Expertise in Border Gateway Protocol (BGP) and Multi-Protocol BGP (MP-BGP) for routing and managing network traffic.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job Summary</strong><br>We are seeking a Cybersecurity Proposal &amp; Pre-Sales Specialist to support the end-to-end development of technical proposals, RFP/RFI/RFQ responses, and tender submissions. The role focuses on analyzing customer requirements, preparing compliant technical documentation, and coordinating with internal SMEs and technology partners to deliver high-quality cybersecurity proposals.</p><p><strong>Key Responsibilities</strong></p><ul><li><p>Analyze RFPs, RFIs, RFQs, and tender documents to identify technical and compliance requirements.</p></li><li><p>Prepare and review technical proposals, Statements of Work (SOW), compliance matrices, and solution documentation.</p></li><li><p>Coordinate with cybersecurity SMEs, solution architects, delivery teams, and vendors to gather technical inputs.</p></li><li><p>Maintain proposal templates, content libraries, and reusable response repositories.</p></li><li><p>Ensure proposal quality, accuracy, compliance, and on-time submission.</p></li><li><p>Support solution scoping, BOQ preparation, and technical presentations when required.</p></li></ul><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Computer Science, IT, Cybersecurity, Engineering, or a related field.</p></li><li><p>5–8 years of experience in cybersecurity pre-sales, proposal writing, bid management, technical consulting, or security operations/GRC roles.</p></li><li><p>Strong experience responding to RFPs, RFIs, and RFQs.</p></li><li><p>Good understanding of cybersecurity domains such as SOC, SIEM, IAM/PAM, GRC, DLP, EDR, and Network Security.</p></li><li><p>Excellent technical writing and documentation skills in English.</p></li><li><p>Knowledge of frameworks such as ISO 27001, NIST, or NCA/NIA cybersecurity standards is preferred.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team:<br><br>In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot.<br><br>Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Agoda Product Managers work closely with executive leadership and have high visibility among the C-suite; they have direct impact on Agoda’s growth and strategy. Product puts our travelers first and delivers that special travel experience in the most creative expression.<br><br>The opportunity:<br><br>This role is BANGKOK-BASED, RELOCATION PROVIDED. Our Senior Product Managers are analytical and data-driven individuals, who’re responsible for building products end-to-end focusing on analyzing and experimenting until our solutions are perfectly tailored to our travelers. As our next Senior Product Manager, you will drive product strategy and partner closely with senior leadership cross-functionally to define, build, and deliver the best travel solutions.<br><br>You will get dedicated engineering resources that you, and only you define and allocate. We expect you to have a hands-on mentality and spend considerable time with your SCRUM teams, have enthusiasm to develop engineered processes and technologies and apply innovative solutions to make organizational improvements. Product Managers can modify *every* system we have in our company to suit their needs.<br><br>By applying to this role, you'll be considered for a role either in User Experience, Marketing, Finance or Supply product vertical. The goal is to match you with the team that best aligns with your interests, competencies, and where you will have the most impact. We’re looking for Senior Product Managers for every part of our business. Our entire Product team sits in Bangkok. This is an Individual Contributor position.<br><br>In this role, you'll get to: <br><br>Analyze the online travel ecosystem, markets, competitive landscape and user requirements. Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly. Work collaboratively with Engineering, Marketing, Legal and UX teams on cutting-edge technologies. Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions.<br><br> What you'll need to succeed:<br><br>Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline). Proven ability to leverage analytics and quantitative methods to inform and influence decision-making Strong data skills Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders Experience developing and launching products Experience leading global product vision, go-to-market strategy and design discussions. Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change Hands-on mentality<br><br>It's great if you have:<br><br>MBA or Master’s degree in Math, Economics, Computer Science or Statistics Data tools - SQL, Python, R, or equivalent<br><br>#seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong #singapore #berlin #shanghai #losangeles #boston #austin #toronto #luxembourg #munich #oslo #copenhagen #stockholm #helsinki #brussels #hamburg #stuttgart #taipei #hamburg #stuttgart #dublin #telaviv #sydney #melbourne #perth #vancouver #montreal #prague #paris #dublin #telaviv #milan #rome #amsterdam #moscow #saintpetersburg #frankfurt #shenzhen #istanbul #dubai #seoul #madrid #barcelona #zurich #geneva #warsaw #budapest #vienna #bratislava #bucharest #sofia #athens #ankara #jakarta #manila #kuala_lumpur #ho_chi_minh_city #hanoi #beirut #riyadh #jeddah #doha #cape_town #johannesburg #mexicocity #guadalajara #santiago #buenosaires #sao_paulo #rio_de_janeiro #bogota #caracas #auckland #wellington #calgary #edmonton #ottawa<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.