وظائف مهندسين ميكانيكا - الدوحة قطر

Project Controls Director Position Summary The Project Controls Director is responsible for leading and managing all project control functions across large-scale Power Plant construction projects, including planning, scheduling, cost control, progress measurement, reporting, risk management, and performance analysis. The role ensures projects are delivered safely, on schedule, within budget, and in accordance with contractual and client requirements. The successful candidate will have extensive EPC experience in thermal power plants, combined cycle power plants, gas-fired power plants, renewable energy projects, substations, and associated infrastructure.<br><br>Key Responsibilities Planning & Scheduling Lead the development and implementation of integrated project schedules. Establish project baselines, milestones, critical paths, and recovery plans. Monitor schedule performance and identify potential delays. Ensure compliance with EPC contract requirements and project execution plans. Direct planning teams across engineering, procurement, construction, and commissioning phases. Cost Control & Budget Management Establish project cost control systems and procedures. Monitor project budgets, commitments, accruals, and forecasts. Analyze cost variances and recommend corrective actions. Review monthly cost reports and cash flow forecasts. Support project management in achieving commercial objectives. Progress Measurement & Reporting Implement project performance measurement systems. Ensure accurate project progress tracking and earned value analysis. Prepare executive management reports and dashboard presentations. Present project status updates to clients and senior management. Risk & Change Management Lead schedule risk assessments and mitigation planning. Monitor project changes, variations, and claims impact. Evaluate schedule and cost implications of project changes. Support commercial teams on extension of time (EOT) claims and dispute resolution. Leadership & Stakeholder Management Lead multidisciplinary Project Controls teams. Mentor and develop planners, cost engineers, and reporting specialists. Coordinate with clients, consultants, subcontractors, and project stakeholders. Drive project control best practices across all project phases. Systems & Performance Management Ensure effective utilization of Primavera P6 and project control software. Implement KPI reporting and project performance monitoring frameworks. Develop project control procedures aligned with international standards. Promote digital reporting and data-driven decision-making<br>.<br>Minimum Qualifications Bachelor's Degree in Engineering, Construction Management, Project Management, or related discipline. Master's Degree is an advantage. PMP, PSP (Planning & Scheduling Professional), AACE, or equivalent certifications preferre<br>d.<br>Experience Requirements Minimum 20 years of Project Controls experience within EPC, Power, Energy, or Industrial projects. Minimum 10 years in a senior leadership position managing large Project Controls teams. Proven experience on large-scale Power Plant construction projects valued above USD 500 Million. Strong experience in Combined Cycle Power Plants (CCPP), Gas Power Plants, Thermal Power Plants, or Renewable Energy Projects. Experience working for leading EPC contractors. Middle East and international project experience is highly preferr<br>ed.<br>Technical Competencies Primavera P6 Expert EPC Project Controls Management Cost Control & Forecasting Earned Value Management (EVM) Progress Measurement Systems Risk Analysis & Mitigation Power Plant Construction Scheduling Change Management Claims & Extension of Time Analysis Executive Reporting & Dashboard Development Contract Administration Support Resource Planning & Productivity Anal<br>ysis<br>Key Skills Strategic Leadership Stakeholder Management Commercial Awareness Analytical & Problem-Solving Skills Team Leadership & Mentoring Decision-Making Ability Presentation & Communication Skills Conflict Resolution Results-Oriented Mi<br>ndset

Role Purpose<br><br>The Business Data & Analytics Consultant translates client questions and operational needs into trusted analytical requirements, indicators, analyses and decision-support products. The role helps stakeholders define the decision to be supported, identify required data, agree calculation logic and interpret results with appropriate context, quality and governance controls.<br><br>The consultant works across business and technical teams, connecting subject-matter expertise with data architecture, engineering, metadata, quality and visualisation. Work may include use-case development, requirements elicitation, indicator design, exploratory analysis, dashboard specifications, acceptance testing and insight communication. The role does not own the client's decisions; it provides transparent evidence and explains assumptions, limitations and implications so authorised stakeholders can act confidently.<br><br>Key Responsibilities<br><br>Elicit and document the business questions, decisions, users, outcomes and constraints for analytical use cases. Translate stakeholder needs into data, calculation, indicator, reporting and acceptance requirements. Identify source datasets, definitions, owners, quality conditions, time periods and required transformations. Develop use-case charters, analytical requirements, indicator definitions and traceability records. Perform exploratory analysis and validate patterns, exceptions and limitations with subject-matter experts. Define calculation logic, dimensions, filters, targets, frequency and interpretation guidance for indicators. Work with engineers, architects and visualisation specialists to ensure requirements are implementable and testable. Specify dashboard, report and data-product behaviour from a business and user perspective. Support user acceptance testing and verify that outputs reconcile to definitions and trusted sources. Communicate findings through clear narratives, tables, visuals and decision-focused recommendations. Document data-quality caveats, assumptions, confidence limits and responsible-use considerations. Train client users to interpret outputs correctly and maintain requirements and indicator definitions.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in analytics, statistics, economics, information systems, business 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 business analysis, data analysis, performance management or analytics. Experience in business analysis, data analysis, analytics, reporting or decision-support work. Experience eliciting requirements and translating business questions into data and analytical specifications. Experience validating indicators, dashboards, reports or analytical products with users. Exposure to government services, operational performance or policy analysis is preferred.<br><br>Technical and Domain Knowledge<br><br>Business-analysis and requirements-management techniques. Analytical use-case and indicator design. Data sourcing, definitions, dimensions, calculations and validation. Exploratory analysis using SQL, spreadsheets or analytical tools. Dashboard and report requirements and user-acceptance criteria. Data quality, metadata, lineage and responsible-use considerations. Benefits, outcomes and decision-support measurement. Clear analytical documentation and data storytelling.<br><br>Core Competencies<br><br>Requirements analysis. SQL and data analysis. Indicator design. Data storytelling. Business process knowledge. Quality and metadata awareness. Business curiosity. Requirements precision. User focus. Interviewing stakeholders and clarifying ambiguous questions. Facilitating use-case, indicator and requirements workshops. Translating between business and technical teams. Presenting evidence, assumptions and limitations without overclaiming. Producing decision-ready analysis and professional reports. Managing feedback, revisions and acceptance criteria. Teaching client users how to interpret and maintain analytical outputs.<br><br>Preferred Certifications<br><br>CBAP or PMI-PBAMicrosoft Power BI Data Analyst Associate CDMP Associate<br><br>Focus areas<br><br>Requirements analysis SQL and data analysis Indicator design<br><br>Ready to apply for this role?<br><br>Apply for Business Data & Analytics Consultant

Role Purpose<br><br>The Data Security Consultant assesses data-security risks and supports the design, implementation and validation of security controls for client data, platforms, integrations and analytics solutions. The role converts approved security, privacy and classification requirements into practical technical and operational measures covering identity, access, encryption, monitoring, incident response and resilience.<br><br>The consultant works alongside security leadership, architects, engineers, platform teams, compliance specialists and client system owners. It may implement or test authorised controls within client environments, but privileged authority, production ownership and risk acceptance remain with the client. The role is expected to produce clear requirements, evidence, remediation guidance and handover documentation, and to communicate technical findings in terms of business exposure and operational action.<br><br>Key Responsibilities<br><br>Assess data-security risks, threat exposure, control design, configurations and available operational evidence. Translate security, privacy and classification requirements into technical and procedural control specifications. Review identity, authentication, authorisation, role design, privileged access and segregation of duties. Assess encryption, key management, secrets handling, secure transfer and data-masking requirements. Review security for APIs, integrations, pipelines, storage, analytics platforms and shared datasets. Evaluate logging, monitoring, alerting, vulnerability management and incident-response arrangements. Support security testing, evidence collection, defect triage and remediation validation. Develop risk records, control matrices, implementation actions, exceptions and residual-risk summaries. Coordinate security requirements with architecture, engineering, platform, privacy, audit and operations teams. Support backup, recovery, continuity and secure-disposal controls affecting client data. Prepare security guidance, configuration standards, test evidence and operational handover material. Deliver security walkthroughs and role-based knowledge transfer to client teams.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in cybersecurity, 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 information security, security engineering or technology risk. Experience in cybersecurity, information security, security engineering, technology risk or related roles. Experience assessing or implementing controls for data platforms, cloud services, APIs or enterprise systems. Experience with identity, encryption, logging, vulnerability management and incident response. Experience documenting findings and communicating remediation priorities to technical and business stakeholders.<br><br>Technical and Domain Knowledge<br><br>Security assessment, threat and risk analysis. Identity and access management and privileged-access controls. Encryption, key management, secure transfer and data masking. API, integration, pipeline, platform and cloud security. Logging, monitoring, vulnerability and incident management. Classification, privacy, retention and secure-disposal controls. Backup, recovery, resilience and continuity safeguards. Security evidence, testing, remediation and exception management.<br><br>Core Competencies<br><br>IAM. Risk assessment. Monitoring. Incident response. Secure architecture. Security mindset. Technical judgement. Incident awareness. Conducting security discovery and control walkthroughs. Explaining technical vulnerabilities in business-impact language. Writing clear requirements, findings and remediation guidance. Working safely within privileged and controlled client environments. Collaborating across security, data, technology and compliance teams. Maintaining confidentiality and complete evidence records. Supporting client risk decisions without assuming risk-acceptance authority.<br><br>Preferred Certifications<br><br>CISSP for senior positions CISMRelevant cloud-security certification<br><br>Focus areas<br><br>Security controls IAMRisk assessment<br><br>Ready to apply for this role?<br><br>Apply for Data Security Consultant

Role Purpose<br><br>The Data & Digital Quality Assurance Consultant provides independent delivery assurance for client data products, analytics solutions, integrations, platforms and related digital components. The role verifies that requirements are testable, that delivered functions behave as intended and that data, controls, performance, security and user experience are supported by adequate evidence.<br><br>The consultant works with business analysts, engineers, developers, architects, platform teams and client users to plan and execute risk-based testing. It distinguishes confirmed defects from assumptions, maintains traceability and supports objective acceptance decisions. The role may recommend whether a deliverable is ready, but formal acceptance remains with authorised client stakeholders. Effective candidates combine testing discipline with strong communication, data awareness and the ability to identify defects that arise across functional, data and integration boundaries.<br><br>Key Responsibilities<br><br>Review requirements, user stories, acceptance criteria, designs and controls for completeness, clarity and testability. Develop risk-based test strategies, plans, scenarios, cases, data, environments and evidence requirements. Maintain traceability between requirements, test cases, results, defects and acceptance decisions. Test data pipelines, transformations, APIs, integrations, reports, dashboards and platform functions. Validate calculations, reconciliations, data-quality rules, reference data, metadata and error handling. Assess functional, regression, integration, usability, performance and selected security-control behaviour. Record defects with reproducible steps, evidence, impact, severity and clear expected results. Coordinate defect triage, retesting, regression testing and closure evidence with delivery teams. Support user acceptance testing through scripts, training, evidence capture and issue management. Identify opportunities for repeatable or automated testing without weakening manual judgement. Prepare quality dashboards, readiness assessments, test-completion reports and residual-risk summaries. Provide objective recommendations while leaving formal acceptance and risk decisions with the client.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in information systems, computer science, software engineering 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 software, data or platform testing. Experience in software testing, data testing, quality assurance, platform testing or related delivery assurance. Experience testing data transformations, integrations, reports or analytical outputs. Experience managing defects, traceability, test evidence and user acceptance. Exposure to automated testing, non-functional testing or regulated delivery environments is preferred.<br><br>Technical and Domain Knowledge<br><br>Test strategy, planning, case design and traceability. Functional, integration, regression and user-acceptance testing. Data validation, reconciliation and quality-rule testing. API, pipeline, report, dashboard and platform testing. Defect lifecycle, severity, evidence and closure controls. Performance, usability and selected security-testing concepts. SQL or analytical tools for independent result validation. Test automation principles and controlled test-data management.<br><br>Core Competencies<br><br>Test design. Data validation. API/integration testing. Defect management. Automation basics. Professional scepticism. Test discipline. Independence. User advocacy. Challenging ambiguous requirements and unsupported readiness claims. Communicating defects objectively and constructively. Producing clear test evidence and executive quality reporting. Working independently while collaborating with delivery teams. Facilitating triage and user-acceptance sessions. Maintaining traceability and disciplined version control. Supporting client acceptance without assuming approval authority.<br><br>Preferred Certifications<br><br>ISTQB Certified Tester Foundation Leveladvanced test certification preferred for senior roles<br><br>Focus areas<br><br>Test design Data validation API/integration testing<br><br>Ready to apply for this role?<br><br>Apply for Data & Digital Quality Assurance Consultant

Role Purpose<br><br>The Data Infrastructure & Operations Consultant designs, configures and supports the infrastructure and operational services required for client data-management, integration, analytics and security capabilities. The role ensures that environments, connectivity, capacity, access, monitoring, backup, recovery and support arrangements are documented and aligned with approved architecture and service requirements.<br><br>The consultant works with client infrastructure teams, system owners, platform administrators, architects, engineers and security specialists. It may provision or support environments under controlled access, but client technology teams retain production ownership and operational authority. The role must combine technical delivery with disciplined operational documentation, evidence and knowledge transfer so services can be maintained reliably after implementation.<br><br>Key Responsibilities<br><br>Assess infrastructure, hosting, network, connectivity, capacity, environment and service requirements for client data solutions. Design or support approved on-premises, cloud or hybrid infrastructure configurations. Provision and configure authorised development, test and production-support environments through client change controls. Implement connectivity, certificates, service accounts, access, secrets and infrastructure security requirements. Support installation and operation of data platforms, integration services, databases and analytical components. Establish monitoring, alerting, capacity, availability, performance and service-level evidence. Design and test backup, restoration, disaster-recovery and continuity procedures for relevant services. Maintain configuration records, infrastructure diagrams, asset information, patch status and change history. Support incident, problem and root-cause investigation and coordinate corrective action with client teams and vendors. Validate operational readiness, support ownership, escalation routes and acceptance evidence before go-live. Develop runbooks, maintenance procedures, support models and operational handover packs. Train client infrastructure and operations personnel and provide controlled transition support.<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 3-8 years in infrastructure, systems administration, cloud or enterprise application support. Experience in infrastructure, systems administration, cloud services, database platforms or enterprise application support. Experience with networking, identity, monitoring, backup, recovery, patching and configuration management. Experience supporting data or analytics platforms and working within production change controls. Experience producing operational documentation and transferring services to support teams.<br><br>Technical and Domain Knowledge<br><br>On-premises, cloud and hybrid infrastructure concepts. Systems administration, networking and connectivity. Identity, service accounts, certificates and access controls. Monitoring, alerting, capacity, availability and performance. Backup, restoration, disaster recovery and continuity. Patching, configuration, release and change management. Incident, problem and operational support processes. Infrastructure documentation, runbooks and service handover.<br><br>Core Competencies<br><br>Infrastructure operations. Systems administration. Networking. Monitoring. Backup/recovery. Change and incident management. Operational reliability. Troubleshooting. Service management. Documentation discipline. Eliciting operational requirements and identifying hidden dependencies. Explaining infrastructure options and service implications clearly. Working within controlled access, security and change processes. Coordinating infrastructure, platform, vendor and delivery teams. Producing complete configuration and operational evidence. Facilitating readiness reviews and structured handover. Supporting client operations without assuming production ownership.<br><br>Preferred Certifications<br><br>Relevant cloud or infrastructure certification IT service-management certification<br><br>Focus areas<br><br>Infrastructure operations Systems administration Networking<br><br>Ready to apply for this role?<br><br>Apply for Data Infrastructure & Operations Consultant

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

As the Primary BUILDER Point of Contact (POC) - Data Manager, you will serve as the installation's subject-matter expert and lead coordinator for the BUILDER Sustainment Management System (SMS). This role is responsible for ensuring the accuracy, completeness, and timely management of facility asset data used to support sustainment, restoration, and modernization (SRM) planning at Al Udeid Air Base. The position works closely with Civil Engineering (CE), asset owners, contractors, and higher headquarters to support data-driven decision-making and compliance with Department of Defense and Air Force requirements.<br><br>ESSENTIAL JOB FUNCTIONS:<br><br>Serve as the primary installation-level POC for BUILDER SMSManage, validate, and maintain BUILDER facility asset data, including inventory, condition assessments, and sustainment metrics Coordinate and oversee BUILDER data collection efforts, including inspections and contractor-supported assessments Ensure data accuracy, completeness, and compliance with applicable DoD, Air Force, and MAJCOM guidance Analyze BUILDER data to support SRM planning, budgeting, and prioritization Prepare reports, dashboards, and briefings for leadership and higher headquarters Coordinate with facility managers, engineers, and planners to resolve data discrepancies Provide training, guidance, and support to local users on BUILDER processes and best practices Track assessment cycles and ensure timely updates to facility condition data Support audits, inspections, and data calls related to facility management systems<br><br>Requirements<br><br>EDUCATION & EXPERIENCE:<br><br>High School Diploma or equivalent3+ years' experience with BUILDER Sustainment Management System (SMS) or similar facility asset management systems<br><br>KNOWLEDGE & SKILLS:<br><br>Knowledge of civil engineering, facility management, or infrastructure sustainment concepts Strong data management, analysis, and quality control skills Proficiency with Microsoft Excel and standard data reporting tools Ability to work independently in a deployed or OCONUS environment Strong communication skills, both written and verbal Prior experience supporting Air Force or DoD installations Familiarity with SRM planning, facility condition assessments, and asset inventory processes Experience coordinating with contractors and cross-functional teams<br><br>ADDITIONAL REQUIREMENTS:<br><br>Must possess a valid U. S. Driver's License Possess a valid U. S. Passport (preferred) Must be able to meet all current USCENTCOM Deployment Policy Requirements, as outlined in the USCENTCOM APR 23 MOD EIGHTEEN TO USCENTCOM INDIVIDUAL AND INDIVIDUAL-UNIT DEPLOYMENT POLICYAble to obtain and maintain a valid Residency Visa for Qatar Must be able to work in extreme environmental conditions including dust and high temperatures Must be able to endure long hours, exposure to weather and hazardous conditions Experience operating fuel trucks, hydrant systems, or bulk fuel storage facilities Ability to work rotating shifts, extended hours, and in extreme weather conditions Strong attention to detail and commitment to safety Valid driver's license (commercial license preferred, if applicable)<br><br>TRAVEL: 100%, in deployed location.<br><br>SECURITY CLEARANCE: Must have and maintain a DoD Secret Clearance.<br><br>Global Dimensions does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Equal Opportunity Employer/Veterans/Disabled.

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.

<p>أخصائي أمراض رياضية/التمارين الرياضية: لإدارة مجموعة تشخيصنا، تشغيل أجهزة فحص عالمية المستوى، وإرشاد المرضى من خلال تحولات صحية مدفوعة بالبيانات.</p><p>&nbsp;</p><p><strong>المسؤوليات:</strong></p><ul><li><strong>التشخيص القلبي الرئوي والميتابولي:</strong> إجراء اختبارات VO2 Max وRMR باستخدام عربة التمثيل الغذائي KORR Cardio Coach PRO المقرونة بأجهزة السير/التمارين. تحديد عتبات التنفس (VT1/VT2) ومناطق FatMax المستهدفة.</li><li><strong>تشريح جسدي طبي:</strong> تفسير فحوص GE Lunar DXA مع التركيز على تناظر الكتلة الخالية من الدهون، ومؤشر النسيج الدهني الحشوي (VAT)، وكثافة العظام (BMD).</li><li><strong>التقييم الميكانيكي الحيوي:</strong> إجراء تتبع ثلاثي الأبعاد للهيكلي وتحليل نطاق الحركة باستخدام تقنية Kinotek LiDAR، وكذلك اختبار القوة الأيزومترية القصوى عبر عدادات الديناميكية الرقمية Activforce 2.</li><li><strong>الاستشارات وإدارة المجموعة:</strong> تصميم وصفات تمارين قابلة للتنفيذ قائمة على الأدلة مع ضمان المعايرة السريرية والصيانة للأجهزة التشخيصية.</li></ul><p>&nbsp;</p><p><strong>المتطلبات والمؤهلات:</strong></p><ul><li><strong>التعليم:</strong> درجة البكالوريوس أو الماجستير في فسيولوجيا التمرين السريري، أو فسيولوجيا الرياضة، أو علوم الحركة البشرية.</li><li><strong>التراخيص/الشهادات (يُشترط حيازة شهادة واحدة على الأقل):</strong> ACSM-RCEP / ACSM-CEP، ESSA-AEP، أو تسجيل سريري معادل.</li><li>&nbsp;</li><li><strong>المهارات التقنية:</strong>&nbsp;</li><li>خبرة عميقة في الحرارة غير المباشرة، واختبار الجهد التدريجي (GXT)، واستخدام الركائز (RER).</li><li>مهارات تواصل سريرية قوية مع دافع لتوسيع خدمات مجموعة التشخيص.</li><li>ملاحظة: شهادات التدريب الشخصي القياسية (مثلاً NASM، ACE، ISSA) وحدها غير كافية بشكل صارم.</li></ul>

Functions<br><br> JOB DESCRIPTION <br><br>Essential<br><br>In conjunction with Global Mobility, locates personnel as required to meet specific project assignments. Works with Global Mobility to ensure timely mob/demob of personnel to meet project requirements (Schedulink). Coordinate with HR and Global Mobility to obtain any required medicals, visa, and OI general HSE, Code of Conduct and Sumtotal training prior to traveling to work site. Perform required site inductions and gate passes. Co-ordinate Personnel competency assessments including training certification and renewals, client specific training, inductions and gate passes. Ensure all current and new hire training certification is uploaded into Sumtotal. Arrange accommodation for personnel when in country, prioritising staff house accommodation. Co-ordinate with other region operations co-ordinators to share personnel as and when required, maximising utilisation. Assist Operations Manager with personnel recruitment preparing the required forms to any positions required (RAF/NHF) Provide HR with inter regional movement of personnel, and daily reports when required. Assist Operations Manager with preparing permanent and ad-hoc leaver forms. Train and coach personnel with time entry and expense reporting (Crew Time and Peoplesoft). Assist Operations Manager with raising requisitions within Peoplesoft for approval. Report any HSE observations when applicable Report any Cost of Poor Quality (COPQ) observed for continuous improvement. Prepare project lists and documents for client approval Personnel mobilizations management Timesheet and client worksheet control Rotation scheduling Training and Competence<br><br>Non-essential<br><br>Other duties as assigned Quality improvements HSE improvements <br><br>Responsibilities<br><br>Supervisory Responsibilities<br><br>This position has NO direct supervisory responsibilities. However, direct contact with technicians and project teams to deliver information on mobs etc. out of hours and weekends likely.<br><br>Qualifications<br><br>Bachelors degree in project management, business management or related field, or equivalent combination of education and experience. Previous experience with planning, organizing and administration of activities and personnel Previous Integrity Management experience including personnel logistics Strong working knowledge of MS Office applications Basic Understanding of Non-Destructive Testing (NDT)<br><br>Knowledge, Skills, Abilities, And Other Characteristics<br><br>Ability to establish and maintain cooperative working relationships. Ability to work in a team environment, remaining attentive to ideas, recognizing responsibilities, and actively participating with others to accomplish assignments and achieve desired goals. Knowledge of department's policies, rules, regulations, business goals, vision, organizational structure, culture, philosophy, operating principles and values, etc. Ability to establish and maintain project priorities. Identifies what needs to be done and takes action before being asked or required.<br><br>Working Conditions<br><br>This position is considered OFFICE WORK which is characterized as follows.<br><br>Almost exclusively indoors during the day and occasionally at night Occasional exposure to airborne dust in the work place Work surface is stable (flat) <br><br>Physical Activity/Requirements<br><br>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<br><br>This position is considered LIGHT work.<br><br>OCCASIONAL<br><br>FREQUENT<br><br>CONSTANT<br><br> Sit with back supported Lift up to 10 pounds Standing Climbing stairs Office based Repetitive movements of arms and hands Sit with back supported <br><br>About Us<br><br>Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.<br><br>About The Team<br><br>Oceaneering Integrity Management and Digital Solutions (IMDS) delivers capability, safety, and reliability. We help our customers make informed decisions and manage risk associated with their oil and gas, renewables, and maritime assets–any time, any place. Customers are confident that when they choose us, we will respond with the safe, green, efficient, and cost-effective solutions and services they require.

Functions<br><br> JOB DESCRIPTION <br><br>Essential<br><br>In conjunction with Global Mobility, locates personnel as required to meet specific project assignments. Works with Global Mobility to ensure timely mob/demob of personnel to meet project requirements (Schedulink). Coordinate with HR and Global Mobility to obtain any required medicals, visa, and OI general HSE, Code of Conduct and Sumtotal training prior to traveling to work site. Perform required site inductions and gate passes. Co-ordinate Personnel competency assessments including training certification and renewals, client specific training, inductions and gate passes. Ensure all current and new hire training certification is uploaded into Sumtotal. Arrange accommodation for personnel when in country, prioritising staff house accommodation. Co-ordinate with other region operations co-ordinators to share personnel as and when required, maximising utilisation. Assist Operations Manager with personnel recruitment preparing the required forms to any positions required (RAF/NHF) Provide HR with inter regional movement of personnel, and daily reports when required. Assist Operations Manager with preparing permanent and ad-hoc leaver forms. Train and coach personnel with time entry and expense reporting (Crew Time and Peoplesoft). Assist Operations Manager with raising requisitions within Peoplesoft for approval. Report any HSE observations when applicable Report any Cost of Poor Quality (COPQ) observed for continuous improvement. Prepare project lists and documents for client approval Personnel mobilizations management Timesheet and client worksheet control Rotation scheduling Training and Competence<br><br>Non-essential<br><br>Other duties as assigned Quality improvements HSE improvements <br><br>Responsibilities<br><br>Supervisory Responsibilities<br><br>This position has NO direct supervisory responsibilities. However, direct contact with technicians and project teams to deliver information on mobs etc. out of hours and weekends likely.<br><br>Qualifications<br><br>Bachelors degree in project management, business management or related field, or equivalent combination of education and experience. Previous experience with planning, organizing and administration of activities and personnel Previous Integrity Management experience including personnel logistics Strong working knowledge of MS Office applications Basic Understanding of Non-Destructive Testing (NDT)<br><br>Knowledge, Skills, Abilities, And Other Characteristics<br><br>Ability to establish and maintain cooperative working relationships. Ability to work in a team environment, remaining attentive to ideas, recognizing responsibilities, and actively participating with others to accomplish assignments and achieve desired goals. Knowledge of department's policies, rules, regulations, business goals, vision, organizational structure, culture, philosophy, operating principles and values, etc. Ability to establish and maintain project priorities. Identifies what needs to be done and takes action before being asked or required.<br><br>Working Conditions<br><br>This position is considered OFFICE WORK which is characterized as follows.<br><br>Almost exclusively indoors during the day and occasionally at night Occasional exposure to airborne dust in the work place Work surface is stable (flat) <br><br>Physical Activity/Requirements<br><br>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<br><br>This position is considered LIGHT work.<br><br>OCCASIONAL<br><br>FREQUENT<br><br>CONSTANT<br><br> Sit with back supported Lift up to 10 pounds Standing Climbing stairs Office based Repetitive movements of arms and hands Sit with back supported <br><br>About Us<br><br>Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.<br><br>About The Team<br><br>Oceaneering Integrity Management and Digital Solutions (IMDS) delivers capability, safety, and reliability. We help our customers make informed decisions and manage risk associated with their oil and gas, renewables, and maritime assets–any time, any place. Customers are confident that when they choose us, we will respond with the safe, green, efficient, and cost-effective solutions and services they require.

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.

Company Description<br> <br>Work with Us. Change the World.<br> <br>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.<br> <br>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.<br> <br>We're one global team driven by our common purpose to deliver a better world. Join us.<br> <br>Job Description<br> <br>Leads the HSE oversight function, ensuring the Contractor’s safety management system is effectively implemented and aligned with project and regulatory requirements.<br> <br>Key Responsibilities:<br> <br>Review and approve Contractor’s HSE Plan, risk assessments, and method statements.<br> <br>Lead site safety audits, inspections, and compliance monitoring.<br> <br>Ensure adherence to local regulations and international HSE standards.<br> <br>Investigate incidents and ensure proper root cause analysis and corrective actions.<br> <br>Drive safety awareness and continuous improvement initiatives.<br> <br>Report HSE performance and risks to the Client and PMCM leadership.<br> <br>Qualifications<br> <br>Additional Information<br> <br>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.<br> <br>About AECOM<br> <br>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.<br> <br>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.<br> <br>What makes AECOM a great place to work<br> <br>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.<br> <br>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.<br> <br>Req ID: J10149960<br> <br>Business Line: Transportation<br> <br>Business Group: DCS<br> <br>Strategic Business Unit: ME and Africa<br> <br>Career Area: Safety, Health & Environment<br> <br>Work Location Model: On-Site

Public Markets Research Analyst US & Global Equities <br>Position Title Public Markets Research Analyst — US & Global Equities Location Doha, Qatar Employment Type Full-Time Reports To Principal / Head of Investments <br><br>About the Role <br>We are seeking a Public Markets Research Analyst to lead research and idea generation across US and global equities for a private family office’s public markets allocation. The role blends fundamental equity research with quantitative/systematic methods, and requires working knowledge of fund vehicles (ETFs, mutual funds, hedge funds) for both direct security selection and light manager due diligence. The ideal candidate brings process discipline from a quantitative hedge fund, asset manager, or institutional research background, adapted to a lean, principal-led environment. <br>Key Responsibilities <br>Conduct fundamental and quantitative research on US and global equities; maintain a coverage list / idea pipeline Build and maintain financial models — DCF, comparables, scenario/sensitivity analysis — for individual securities and sectors Apply quantitative techniques (factor screening, backtesting, mean-variance/portfolio optimization) to support security selection and portfolio construction Track and evaluate third-party fund vehicles (ETFs, mutual funds, hedge funds) relevant to the family office’s public markets exposure, including basic manager due diligence Monitor macro developments, sector rotation, and thematic trends in global equities and translate them into actionable views Prepare concise investment notes, research memos, and recommendations for the principal Monitor portfolio performance, attribution, and risk metrics against relevant benchmarks Use data platforms (Bloomberg, Capital IQ, Fact Set, Visible Alpha, or similar) for data gathering, screening, and analysis Present findings clearly, adapting depth and complexity to a non-analyst principal audience <br>Qualifications <br>Bachelor’s degree in Finance, Economics, Business, or a related field (Masters Degree is a plus) CFA Charter (or substantial progress, e.g. Level II/III passed) strongly preferred Minimum 3+ years’ relevant experience in equity research, portfolio management, or a quantitative/systematic investing role; hedge fund, asset manager, or institutional equities research background is a strong plus Strong financial modeling and valuation skills Working knowledge of the fund ecosystem — mutual funds, ETFs, hedge funds — including basic manager/fund due diligence Product knowledge of structured notes / structured products — e.g. FCNs, Phoenix autocallables, step-down notes, accumulators/decumulators — including payoff mechanics, risk profile, and suitability assessment Exposure to quantitative/systematic investing concepts: factor models, backtesting, portfolio optimization Advanced Excel; familiarity with Bloomberg, Capital IQ, Fact Set, or similar platforms Excellent written and verbal English communication <br>Personal Attributes <br>Self-directed, comfortable without large team infrastructure (single/multi-family office context) High intellectual curiosity and analytical rigor High integrity and discretion handling sensitive principal/portfolio information Strong ownership mentality — flags risks/opportunities proactively Able to translate institutional-grade process into a lean, fast-moving environment

Role Overview We are seeking a highly analytical and performance-oriented Digital Marketing & Performance Specialist who understands the science behind digital engagement and paid advertising.<br>This role is not limited to content posting. It requires a professional who understands how algorithms work, how audiences respond to digital stimuli, how ad auction systems function, and how to systematically optimize campaigns to drive measurable commercial results.<br>The successful candidate will be responsible for driving traffic, engagement, and revenue across Qatar Living’s digital ecosystem using structured experimentation, data analysis, and behavioral marketing principles.<br>Key Responsibilities1. Performance Marketing & Paid Media Management Plan, execute, and optimize paid campaigns across Google Ads, Meta, Linked In, Tik Tok, and other relevant platforms Manage bidding strategies (CPC, CPM, CPA) and optimize for cost efficiency and performance Improve Quality Score, Ad Relevance Score, and engagement metrics Continuously reduce Cost per Acquisition (CPA) and increase Return on Ad Spend (ROAS)<br>2. Data Analytics & Performance Optimization Analyze campaign data and user behavior using analytics tools (Google Analytics, Tag Manager, Meta Business Suite, etc.) Track and report on KPIs including CTR, CPA, ROAS, CAC, LTV, and conversion rates Build structured A/B testing frameworks for creatives, copy, targeting, and landing pages Interpret performance insights and translate them into actionable growth strategies<br>3. Behavioral Marketing & Audience Insights Apply behavioral psychology principles (social proof, urgency, authority, scarcity) into campaigns Segment audiences based on user behavior and intent Optimize conversion funnels to improve user journey and retention Identify friction points and implement improvements to increase conversions<br>4. Funnel Development & Marketplace Growth Drive acquisition and engagement across Qatar Living verticals (Jobs, Properties, Vehicles, Deals, etc.) Develop retargeting and lookalike audience strategies Support revenue-generating campaigns aligned with commercial objectives Collaborate with Sales and Product teams to maximize advertiser performance<br>5. SEO & Digital Optimization Implement SEO best practices to increase organic visibility Optimize landing pages for higher conversion rates Support technical and content improvements in collaboration with the technology team<br>Qualifications & Experience Bachelor’s degree in Marketing, Business, Communications, or related field3–6 years of experience in performance marketing or digital growth roles Proven experience managing paid advertising budgets with measurable ROIStrong understanding of digital ad auction systems and optimization mechanics Advanced knowledge of analytics and performance tracking tools Experience in marketplace, classified platforms, or e-commerce environments is preferred<br>Core Competencies Data-driven decision making Strong analytical and critical thinking skills Commercial awareness and revenue focus Structured experimentation mindset High ownership and accountability Ability to operate in a fast-paced digital environment<br>Key Performance Indicators (KPIs) Traffic growth across verticals Reduction in CPAImprovement in ROASConversion rate optimization Revenue contribution from digital campaigns Campaign efficiency and budget performance