Data Entry Jobs in Qatar

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

Job Description<br><br>JOB TITLE: Lead, Data Governance<br><br>Accountabilities<br><br>Purpose of the Role<br><br>Lead of the central team responsible for driving all company entities to have accurate, consistent, available, and high quality data across around 120 data domains, 870 data families Drives the implementation of data governance for the digital use cases and digital data platform operations to ensure the integrity of data used and presented in the use cases and support decision making Implement data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise. Advisor to the leadership team on enterprise wide data governance solutions and challenges.<br><br>Key Accountabilities<br><br>Drives the implementation of the enterprise data governance framework, strategy, and roadmap Drives the implementation of data governance practices in AI, advanced analytics, digital use cases and data platform operations Implementation and maintenance of solutions to manage data governance Company data literacy and organization upskilling Definition of polices, standards and guidelines for data governance and monitor adoption Budget management for operational costs and data investments<br><br>JOB DIMENSIONS<br><br>Managing an annual budget of approx. USD $2MManaging 2 direct reports5 service contracts Lead of a central team driving the improvement of data governance for 16 department Involves close working relations with the digital team, department focal points and leadership, data owners, and data stewards as well as contractors<br><br>ACTIVITIES<br><br>Manage enterprise data governance framework, strategy, and maturity<br><br>Lead data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data. Lead the improvement of data literacy across company to upskill the organization on the value and use of data Measure enterprise data governance maturity and set yearly plans to improvement goals Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serve steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc.) Apply expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.<br><br>Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations<br><br>Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations Ensure data quality rules are defined and developed, Data lineage for technical metadata are captured, business glossary is captured and approved by data stewards according to every digital use case data needs Establish and advance the enterprise AI Governance framework by defining AI agent operating boundaries, implementing governance controls and data quality assurance mechanisms, and delivering a strategic AI Governance roadmap that strengthens governance maturity, mitigates risk, and enables the responsible scaling of AI initiatives across the organization. Ensure the onboard of the digital use case owners and data stewards on the data governance tools to monitor their data usage, quality, and assignment Enable digital use cases master data management scope by defining the data quality checks Responsible for ensuring the data certification standard is followed, through the validation of data at source and destination are align for any data load or migration activity for digital use cases or application changes<br><br>Implement and maintain solutions to manage data governance<br><br>Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise company data on Data Governance tools leveraging Oil and Gas standard practices Lead the prioritization, development and maintaining controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as work with every entity to improve the finding and report issues to senior management per department Responsible for capturing business data challenges and propose solutions to overcome it Report the progress and challenges to senior management through Data Council and DPG Steer Co.<br><br>Defines polices, standards and guidelines for data governance<br><br>Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance Ensure and monitor the adherence to all data policies, procedures, and guidelines Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data Aligns with the data operations to ensure it fulfils the data governance requirements Upskills developees on data governance and management<br><br>Must Have Qualifications & Experience Required<br><br>Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects. Strong handson experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards) Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality) Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc Experience in Change Management, Program management and Stakeholder management Experience in data integration methods Good understanding of Upstream and Downstream DIM requirements Good Knowledge of Database systems, EDMS solutions and BI Technologies Good Knowledge of Applications Architecture, Information Security Principles Fluent English both spoken and written

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

???? Join a Global Leader in Workforce Solutions – Net2Source Inc.???? Right Talent. Right Time. Right Place. Right Price.???? Operating in 32 countries | 5,500+ Employees???? www.net2source.com | ???? remya@net2source.ae<br>Job Title: Business Development Officer Job Location: Qatar<br>We are looking for an experienced Senior Data Architect – Data & AI to lead and govern enterprise data architecture supporting Data Analytics, AI, and digital transformation initiatives.<br>Key Responsibilities:<br>Define and govern enterprise data architecture, data models, and data integration frameworks. Review data architecture, end-to-end data flows, data lineage, ETL/ELT, APIs, batch and streaming solutions. Ensure compliance with Data Governance, Data Quality, Security, Privacy, and regulatory requirements. Assess AI/ML use cases from a data architecture and scalability perspective. Support Responsible AI through data validation, bias detection, explainability, traceability, and monitoring. Review solution designs, BRS documents, vendor solutions, and post-implementation architecture. Participate in Architecture Review, Data Governance and AI Governance forums. Support audits, regulatory initiatives, and enterprise data management programs.<br>Required Skills:7–10+ years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related areas. Strong experience in Data Modeling, Data Governance, Data Integration, Data Quality, and Data Lineage. Good knowledge of Data Warehouses, Data Lakes/Lakehouses, ETL/ELT and modern data platforms. Understanding of AI/ML data ecosystems and Responsible AI. Experience across On-Premises, Cloud, and Hybrid architectures. Strong stakeholder management and architecture governance experience. Banking/Financial Services experience is preferred. GCC/Qatar banking experience is highly desirable. Certifications such as TOGAF, DAMA, CDMP or Cloud Architecture certifications are an advantage.<br>???? About Net2Source Inc. Net2Source offers global staffing solutions and enterprise-scale recruitment support.???? Recognized by INC 5000 & SIA???? Global offices: UAE | USA | India | UK | Singapore | Canada | ANZ???? We support inclusive hiring practices in accordance with UAE labor law.???? www.net2source.com/careers | ???? remya@net2source.ae

Role Summary:Doha Bank is seeking a seasoned technology leader with deep expertise in Data Architecture, Enterprise Data Management, and Governance to head its Data Intelligence & Analytics department. This strategic role is pivotal in shaping the Bank’s data ecosystem, ensuring robust architecture, governance, and delivery of actionable insights across all business units.<br>Key Responsibilities:Define and execute the Bank’s enterprise-wide data strategy in collaboration with the CDIO. Lead the design and implementation of scalable data architecture and technology platforms. Establish and enforce data governance frameworks, policies, and standards. Oversee data integration, migration, and automation initiatives across the enterprise. Drive the development of secure, high-performance data infrastructure aligned with regulatory and business needs. Partner with IT and digital transformation teams to build advanced analytics capabilities. Translate business requirements into technical data solutions and architecture blueprints. Ensure compliance with QCB and other regulatory bodies through robust data controls. Promote innovation through the adoption of emerging technologies in data and analytics. Lead a multidisciplinary team of data engineers, architects, and analysts.<br>Qualifications & Experience:Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Master’s degree in Technology, Data Science, or Management is preferred.15+ years of experience in banking or financial services, with a strong focus on data architecture, technology platforms, and governance. Proven experience in leading enterprise data programs and building scalable data solutions. Strong understanding of big data technologies, cloud platforms, and data security. Expertise in data governance, metadata management, and regulatory compliance.<br>Why Join Doha Bank? This is a unique opportunity to lead the transformation of data capabilities at one of the region’s premier financial institutions. You’ll be at the forefront of innovation, driving strategic initiatives that empower smarter decision-making and operational excellence.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Data Platform Engineer is responsible for designing, building, operating, and optimizing the enterprise data platform that enables analytics, AI, reporting, and automation across the organization. The role focuses on scalable data pipelines, lakehouse and warehouse environments, integration frameworks, platform reliability, security, and performance. This position ensures enterprise data platforms are governed, resilient, and capable of supporting real-time and batch workloads for business users, analytics teams, AI teams, and automation functions.</p><br><br><br><u><b>Job Responsibilities 1</b></u> <br>1. Data Platform Architecture &amp; Infrastructure <ul> <li>Design, build, and maintain enterprise data platforms including data lakes, lakehouses, and data warehouses.</li> <li>Manage cloud-based data environments such as Databricks, Snowflake, BigQuery, Synapse, or equivalent platforms.</li> <li>Ensure scalability, reliability, resilience, and security of platform infrastructure across environments.</li> </ul> 2. Data Pipelines &amp; Integration Engineering <ul> <li>Build and maintain batch and streaming ingestion frameworks for structured and unstructured data sources.</li> <li>Develop reusable ETL / ELT frameworks, templates, and standards for enterprise data movement.</li> <li>Integrate data from ERP, CRM, APIs, flat files, operational systems, and streaming sources.</li> </ul> 3. Workflow Automation &amp; DevOps <ul> <li>Implement orchestration tools such as Airflow, ADF, Dagster, or similar workflow schedulers.</li> <li>Establish CI/CD pipelines for data engineering deployments and automated testing processes.</li> <li>Promote infrastructure-as-code, containerization, and automation best practices.</li> </ul> 4. Data Governance &amp; Security Enablement <ul> <li>Implement access controls, encryption, and platform security standards for enterprise data assets.</li> <li>Enable metadata management, lineage capture, data cataloging, and discovery capabilities.</li> <li>Support governance frameworks, compliance requirements, and data quality monitoring controls.</li> </ul> 5. Performance Optimization &amp; Reliability <ul> <li>Monitor platform performance, workload usage, storage efficiency, and query responsiveness.</li> <li>Optimize compute utilization, pipeline execution times, and operational costs.</li> <li>Troubleshoot platform incidents and ensure high availability with minimal disruption.</li> </ul><br><br><u><b>Job Responsibilities 2</b></u> <br>6. Backup, Recovery &amp; Environment Management <ul> <li>Manage Dev, Test, and Production environments with controlled release practices.</li> <li>Implement backup, disaster recovery, retention, and recovery procedures for critical data assets.</li> <li>Ensure continuity planning for data platform operations and service resilience.</li> </ul> 7. Support for Analytics, AI &amp; Automation <ul> <li>Deliver curated datasets and optimized data structures for reporting, dashboards, AI models, and automation use cases.</li> <li>Enable feature-ready datasets for machine learning and predictive analytics workloads.</li> <li>Support both real-time and scheduled consumption models for enterprise users.</li> </ul> 8. Continuous Improvement &amp; Stakeholder Collaboration <ul> <li>Work closely with architects, analysts, AI teams, automation teams, and business stakeholders to improve platform capabilities.</li> <li>Recommend new technologies and engineering practices that enhance speed, scalability, and value delivery.</li> <li>Contribute to platform roadmaps, standards, and long-term modernization initiatives.</li> </ul><br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Modern Data Architectures: Strong knowledge of lakehouse, warehouse, medallion, and scalable data platform models.</p><br> <p>Data Engineering Tools: Expertise in ETL / ELT, orchestration, SQL, Python, Spark, and distributed processing.</p><br> <p>Governance Foundations: Understanding of metadata, lineage, catalogs, security, and quality frameworks.</p><br> <p>Performance Optimization: Strong capability in tuning pipelines, queries, storage, and compute efficiency.</p><br> <p>Stakeholder Service Mindset: Ability to deliver reliable platform services to multiple business consumers.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Data Engineering Expertise: Minimum 5–10 years of experience in Data Engineering, Data Platform Engineering, Big Data, or Data Warehousing roles.</p><br> <p>Enterprise Platforms: Proven experience building cloud data platforms, pipelines, and integrated data ecosystems.</p><br> <p>Cross Functional Delivery: Experience supporting analytics, AI, automation, and enterprise reporting functions.</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Big Data Analytics L3<br>Build High-Performing Teams<br>Dashboards L3<br>Data Integration L4<br>Deep Learning Algorithms L3<br>Leadership<br>Machine Learning Trends And Techniques L3<br>Provide Direction<br>Quality<br>Resilience<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Information Technology or any related field<br>Master's degree in Information Technology or any related field<br><br><br><br> </div>

Data Governance, Privacy & GRC Consultant Location: Doha, Qatar or Dubai, UAE Employment Type: Full-time (On-site / Client Site) Company: Command Post About Command Post Command Post is a leading cybersecurity, AI assurance, governance, risk, compliance (GRC), privacy, and data governance consulting and technology company serving organizations across the Middle East. As part of our continued growth, we are expanding our Data Governance and GRC practice and are looking for experienced professionals to join our team in Qatar and the UAE. Open Positions We are hiring across multiple experience levels, including:Data Governance Lead Senior Data Governance Consultant Data Governance Consultant GRC / Compliance Lead Privacy Consultant Data Governance Analyst Data Steward Role Overview The successful candidate will support the design, implementation, and continuous improvement of enterprise governance, privacy, compliance, and risk management programs. You will work closely with business and technical stakeholders to establish governance frameworks, improve data quality, ensure regulatory compliance, and strengthen organizational controls. Key Responsibilities Data Governance Design and implement enterprise data governance frameworks. Establish governance structures, decision rights, roles, and responsibilities. Define Data Owner, Data Steward, and Data Custodian operating models. Develop governance policies, standards, procedures, and operating models. Build and maintain business glossaries, metadata repositories, data dictionaries, and data catalogues. Define data quality rules, KPIs, ownership, and issue management processes. Conduct data governance maturity assessments and develop improvement roadmaps. Facilitate workshops with business and technology stakeholders. Support Data Governance Councils and governance working groups. Develop governance dashboards, KPIs, and executive reports. Data Lineage & Data Flow Management Document end-to-end data flows across applications, databases, interfaces, and third-party platforms. Develop enterprise data lineage models. Identify data sources, transformations, integrations, storage locations, and downstream consumers. Validate data flows with business users, architects, engineers, and application owners. Identify governance gaps, duplicate data, uncontrolled transfers, and ownership issues. Support critical data element identification and lifecycle management. Contribute to data migration, integration, and transformation initiatives. Governance, Risk & Compliance (GRC) Design and implement enterprise GRC frameworks. Perform governance, risk, and compliance assessments. Maintain risk registers, compliance registers, control libraries, and evidence repositories. Develop policies, procedures, standards, and control documentation. Support ISO certifications, audits, and regulatory assessments. Track remediation plans, risk treatment actions, and compliance status. Support information security, privacy, AI governance, and data governance compliance initiatives. Privacy Management Design and support enterprise privacy programs. Maintain Records of Processing Activities (RoPA). Conduct Data Protection Impact Assessments (DPIAs). Support privacy risk assessments. Manage Data Subject Access Request (DSAR) processes. Support consent, retention, deletion, breach management, and third-party privacy processes. Map personal data across business units and applications. Support Privacy by Design implementation. Maintain privacy documentation and compliance evidence. Data Discovery & Privacy Technology Implement and support data discovery and classification platforms. Identify sensitive, regulated, and business-critical information. Validate classifications, ownership, retention, and processing purposes. Configure scanning policies, taxonomies, workflows, and connectors. Integrate discovery outputs into governance and compliance processes. Experience with Fides is an advantage. AI Governance & Assurance Support AI governance frameworks and operating models. Build AI inventories and AI risk classification processes. Conduct AI risk and impact assessments. Support ISO/IEC 42001 implementation. Evaluate AI systems for governance, security, privacy, transparency, accountability, and operational risk. Integrate AI governance into enterprise GRC and cybersecurity programs. Experience with Qatar Central Bank AI requirements or similar regional AI regulations is desirable. Standards & Regulatory Experience Experience with one or more of the following is preferred:ISO/IEC 27001ISO/IEC 42001Information Security Management Systems (ISMS) AI Management Systems (AIMS) Privacy and Data Protection Regulations Qatar Data Protection Law UAE Data Protection Law Qatar Central Bank AI Requirements Risk & Control Frameworks Data Governance Frameworks Internal Audit & Compliance Technology Experience Experience with one or more of the following platforms is advantageous:One Trust CISO Assistant Fides Collibra Informatica Microsoft Purview Big IDData Discovery Platforms Data Catalog & Metadata Management Tools GRC Platforms Privacy Management Solutions Compliance & Evidence Management Platforms Required Skills & Experience Experience in Data Governance, Privacy, GRC, Compliance, or Data Management. Strong understanding of governance frameworks, policies, and controls. Experience conducting risk assessments and governance workshops. Excellent stakeholder management and communication skills. Strong analytical and documentation abilities. Customer-facing consulting experience. Ability to work independently and collaboratively. Willingness to work on-site in Doha or Dubai. For Lead Positions Experience leading governance and compliance programs. Managing project teams and stakeholder engagement. Designing governance operating models. Delivering assessments, roadmaps, and implementation projects. Managing budgets, risks, and project delivery. Mentoring junior consultants and supporting business development. For Consultant / Analyst Positions Experience supporting governance initiatives. Documentation and policy development. Risk and compliance tracking. Privacy and data governance support. Reporting and stakeholder coordination. Preferred Skills Data Quality Management Master Data Management (MDM) Cloud Data Governance Regulatory Compliance Audit & Certification Readiness AI Governance & Model Risk Privacy Engineering Data Classification Information Lifecycle Management Data Architecture Data Engineering Systems Integration Cybersecurity Governance Middle East consulting experience Education & Certifications Degree Bachelor's or Master's degree in Information Technology, Computer Science, Data Management, Information Security, Business, or a related discipline. Preferred Certifications DAMA Certified Data Management Professional (CDMP) ISO/IEC 27001 Lead Implementer or Lead Auditor ISO/IEC 42001 Lead Implementer or Lead Auditor CIPP, CIPM, CIPT, or equivalent privacy certifications CRISC, CISA, CISSP, or similar GRC certifications One Trust Certifications Collibra Certifications Microsoft Purview Certifications Informatica Certifications Project Management (PMP, PRINCE2) Business Analysis Certifications Relevant practical consulting and implementation experience will be considered alongside professional certifications. Candidate Profile We are looking for professionals who are:Detail-oriented and highly organized. Strong communicators with excellent stakeholder management skills. Passionate about governance, privacy, AI governance, and compliance. Comfortable working with both business and technical teams. Able to translate regulatory requirements into practical governance solutions. Committed to delivering high-quality consulting services in customer-facing environments. Please submit your updated CV highlighting your experience in:Data Governance Privacy Management GRC & Compliance Data Lineage & Data Flow Mapping Data Discovery & Classification ISO/IEC 27001ISO/IEC 42001AI Governance & Assurance Governance, Privacy, Compliance, and Data Management Technologies

Data Governance, Privacy & GRC Consultant Location: Doha, Qatar or Dubai, UAE Employment Type: Full-time (On-site / Client Site) Company: Command Post About Command Post Command Post is a leading cybersecurity, AI assurance, governance, risk, compliance (GRC), privacy, and data governance consulting and technology company serving organizations across the Middle East. As part of our continued growth, we are expanding our Data Governance and GRC practice and are looking for experienced professionals to join our team in Qatar and the UAE. Open Positions We are hiring across multiple experience levels, including:Data Governance Lead Senior Data Governance Consultant Data Governance Consultant GRC / Compliance Lead Privacy Consultant Data Governance Analyst Data Steward Role Overview The successful candidate will support the design, implementation, and continuous improvement of enterprise governance, privacy, compliance, and risk management programs. You will work closely with business and technical stakeholders to establish governance frameworks, improve data quality, ensure regulatory compliance, and strengthen organizational controls. Key Responsibilities Data Governance Design and implement enterprise data governance frameworks. Establish governance structures, decision rights, roles, and responsibilities. Define Data Owner, Data Steward, and Data Custodian operating models. Develop governance policies, standards, procedures, and operating models. Build and maintain business glossaries, metadata repositories, data dictionaries, and data catalogues. Define data quality rules, KPIs, ownership, and issue management processes. Conduct data governance maturity assessments and develop improvement roadmaps. Facilitate workshops with business and technology stakeholders. Support Data Governance Councils and governance working groups. Develop governance dashboards, KPIs, and executive reports. Data Lineage & Data Flow Management Document end-to-end data flows across applications, databases, interfaces, and third-party platforms. Develop enterprise data lineage models. Identify data sources, transformations, integrations, storage locations, and downstream consumers. Validate data flows with business users, architects, engineers, and application owners. Identify governance gaps, duplicate data, uncontrolled transfers, and ownership issues. Support critical data element identification and lifecycle management. Contribute to data migration, integration, and transformation initiatives. Governance, Risk & Compliance (GRC) Design and implement enterprise GRC frameworks. Perform governance, risk, and compliance assessments. Maintain risk registers, compliance registers, control libraries, and evidence repositories. Develop policies, procedures, standards, and control documentation. Support ISO certifications, audits, and regulatory assessments. Track remediation plans, risk treatment actions, and compliance status. Support information security, privacy, AI governance, and data governance compliance initiatives. Privacy Management Design and support enterprise privacy programs. Maintain Records of Processing Activities (RoPA). Conduct Data Protection Impact Assessments (DPIAs). Support privacy risk assessments. Manage Data Subject Access Request (DSAR) processes. Support consent, retention, deletion, breach management, and third-party privacy processes. Map personal data across business units and applications. Support Privacy by Design implementation. Maintain privacy documentation and compliance evidence. Data Discovery & Privacy Technology Implement and support data discovery and classification platforms. Identify sensitive, regulated, and business-critical information. Validate classifications, ownership, retention, and processing purposes. Configure scanning policies, taxonomies, workflows, and connectors. Integrate discovery outputs into governance and compliance processes. Experience with Fides is an advantage. AI Governance & Assurance Support AI governance frameworks and operating models. Build AI inventories and AI risk classification processes. Conduct AI risk and impact assessments. Support ISO/IEC 42001 implementation. Evaluate AI systems for governance, security, privacy, transparency, accountability, and operational risk. Integrate AI governance into enterprise GRC and cybersecurity programs. Experience with Qatar Central Bank AI requirements or similar regional AI regulations is desirable. Standards & Regulatory Experience Experience with one or more of the following is preferred:ISO/IEC 27001ISO/IEC 42001Information Security Management Systems (ISMS) AI Management Systems (AIMS) Privacy and Data Protection Regulations Qatar Data Protection Law UAE Data Protection Law Qatar Central Bank AI Requirements Risk & Control Frameworks Data Governance Frameworks Internal Audit & Compliance Technology Experience Experience with one or more of the following platforms is advantageous:One Trust CISO Assistant Fides Collibra Informatica Microsoft Purview Big IDData Discovery Platforms Data Catalog & Metadata Management Tools GRC Platforms Privacy Management Solutions Compliance & Evidence Management Platforms Required Skills & Experience Experience in Data Governance, Privacy, GRC, Compliance, or Data Management. Strong understanding of governance frameworks, policies, and controls. Experience conducting risk assessments and governance workshops. Excellent stakeholder management and communication skills. Strong analytical and documentation abilities. Customer-facing consulting experience. Ability to work independently and collaboratively. Willingness to work on-site in Doha or Dubai. For Lead Positions Experience leading governance and compliance programs. Managing project teams and stakeholder engagement. Designing governance operating models. Delivering assessments, roadmaps, and implementation projects. Managing budgets, risks, and project delivery. Mentoring junior consultants and supporting business development. For Consultant / Analyst Positions Experience supporting governance initiatives. Documentation and policy development. Risk and compliance tracking. Privacy and data governance support. Reporting and stakeholder coordination. Preferred Skills Data Quality Management Master Data Management (MDM) Cloud Data Governance Regulatory Compliance Audit & Certification Readiness AI Governance & Model Risk Privacy Engineering Data Classification Information Lifecycle Management Data Architecture Data Engineering Systems Integration Cybersecurity Governance Middle East consulting experience Education & Certifications Degree Bachelor's or Master's degree in Information Technology, Computer Science, Data Management, Information Security, Business, or a related discipline. Preferred Certifications DAMA Certified Data Management Professional (CDMP) ISO/IEC 27001 Lead Implementer or Lead Auditor ISO/IEC 42001 Lead Implementer or Lead Auditor CIPP, CIPM, CIPT, or equivalent privacy certifications CRISC, CISA, CISSP, or similar GRC certifications One Trust Certifications Collibra Certifications Microsoft Purview Certifications Informatica Certifications Project Management (PMP, PRINCE2) Business Analysis Certifications Relevant practical consulting and implementation experience will be considered alongside professional certifications. Candidate Profile We are looking for professionals who are:Detail-oriented and highly organized. Strong communicators with excellent stakeholder management skills. Passionate about governance, privacy, AI governance, and compliance. Comfortable working with both business and technical teams. Able to translate regulatory requirements into practical governance solutions. Committed to delivering high-quality consulting services in customer-facing environments. Please submit your updated CV highlighting your experience in:Data Governance Privacy Management GRC & Compliance Data Lineage & Data Flow Mapping Data Discovery & Classification ISO/IEC 27001ISO/IEC 42001AI Governance & Assurance Governance, Privacy, Compliance, and Data Management Technologies

???? Requirements• Bachelor’s degree in IT, Computer Science, Information Systems, Engineering, Data Analytics, or a related discipline• 7+ years of project/delivery management experience• Strong technical experience across Data Architecture, Data Integration, Data Quality, Metadata, Governance, BI, and Analytics• Proven experience delivering data, BI, analytics, or data-product initiatives from requirements through implementation and adoption• Ability to technically guide multidisciplinary data teams and challenge solution/design decisions• Hands-on or technical leadership experience with enterprise data platforms, BI, analytics, or data integration solutions<br>???? Preferred Certifications PMP | PRINCE2 | Agile/Scrum | Product Owner/Product Management | Informatica | Data & Analytics Certifications

Position Summary:The Lead Data Engineer is responsible for leading the design, development, implementation, and optimization of scalable cloud-based data platforms and engineering solutions that enable analytics, business intelligence, and data-driven decision-making across Group Digital. The role provides technical leadership, establishes engineering best practices, ensures the delivery of secure and high-performance data solutions, and supports the continuous evolution of the organization’s data ecosystem.<br>Key Responsibilities and Accountabilities:Lead the design, development, implementation, and optimization of scalable cloud-based data platforms, data lakes, and data pipelines supporting Group Digital initiatives. Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud technologies to integrate data from multiple internal and external sources. Develop and optimize data models, storage architectures, and processing frameworks to ensure high performance, scalability, reliability, and cost efficiency. Establish and enforce data engineering standards, coding best practices, documentation, and governance across the data engineering function. Collaborate with Business Intelligence, Product, Technology, Commercial, Marketing, and Content teams to translate business requirements into scalable technical solutions. Ensure data quality, integrity, security, and compliance through monitoring, validation, and governance processes. Support the development of analytics, reporting, dashboards, and self-service BI capabilities by delivering reliable and trusted datasets. Optimize cloud infrastructure, database performance, and processing workloads to improve system availability and operational efficiency. Troubleshoot and resolve complex data platform issues, ensuring minimal disruption to business operations. Mentor and provide technical guidance to Data Engineers, promoting knowledge sharing and continuous capability development. Provide technical leadership across the Data Engineering function by driving engineering best practices, mentoring engineers, and guiding technical decisions across Group Digital. Work closely with cross-functional stakeholders, vendors, and technology partners to deliver data engineering initiatives aligned with business priorities. Contribute to Agile delivery by participating in sprint planning, backlog refinement, code reviews, testing, deployment, and continuous improvement activities. Ensure adherence to enterprise data governance, security, architecture, and compliance standards.<br>Job Requirements and Qualifications:Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field. A master’s degree or relevant cloud certifications (e.g., Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect) is an advantage. Experience: Minimum 7+ years of progressive experience in Data Engineering, Data Platform Development, or related disciplines. Proven experience designing and implementing enterprise-scale data platforms and cloud-native data solutions. Experience leading technical initiatives and mentoring engineering teams. Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud technologies.

Job Description<br><br>Strong experience in data analysis, data engineering, or AI development (Microsoft Copilot, Google Gemini Enterprise) Proficiency in programming languages such as Python and SQL. Experience with machine learning frameworks Knowledge of data visualization and BI tools Understanding of databases, data warehouses, and cloud data platforms Strong analytical and problem-solving skills Good communication and documentation abilities<br><br>Responsibilities<br><br>Design, develop, and maintain data pipelines, databases, and data platforms Collect, clean, and transform structured and unstructured data Build, train, test, and deploy AI / machine learning models Develop dashboards, reports, and data insights for business users Integrate AI solutions with business applications and systems Ensure data quality, governance, security, and privacy compliance Monitor and optimize data and AI model performance Collaborate with business, IT, and analytics teams to translate needs into solutions Document data models, pipelines, and AI solutions<br><br>Qualifications<br><br>Bachelor’s degree3-6 years of experience Experience with cloud platforms (AWS, Azure, GCP)

Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. Our client is seeking an experienced Security Operations Officer – Data Security Specialist responsible for executing and enhancing security operations, monitoring and responding to threats with a focus on mega sports events and non-event periods. Collaborate across teams to implement effective security measures for information systems.<br>Key Responsibilities Data Security Engineering Design and implement data protection controls across enterprise, cloud environments and Artificial Intelligence Solutions. Deploy and manage solutions such as Data Loss Prevention (DLP), data masking, and tokenization. Collaborate with application and infrastructure teams to embed security into data lifecycle management. Implement and manage data discovery and classification tools to identify, categorize, and label sensitive data across the organization. Continuously monitor data security posture and produce regular compliance and risk reports. Assist the incident response team in investigating and responding to data security incidents, including insider threats and breaches.<br>Cloud Data Security Implement and manage data protection controls in GCP and Azure. Secure databases and data lakes. Configure encryption at rest, in transit, and in use, with BYOK strategies. Deploy cloud-native data discovery and classification solutions. Manage secrets management and ensure secure access to data storage systems. Implement controls for AI data governance.<br>Cryptography Define and enforce cryptographic practices and key management standards. Manage enterprise encryption practices for data at rest, in transit, and in use. Ensure compliance with organizational and industry cryptographic standards.<br>Data Privacy Ensure compliance with privacy regulations (GDPR, HIPAA, PDPPL). Embed privacy-by-design principles and requirements into technical controls. Drive data classification and governance programs to safeguard personal and sensitive information.<br>Database Security Secure structured and unstructured data repositories, including relational and NoSQL databases. Implement database activity monitoring (DAM) and user access controls. Perform regular security reviews and hardening of database systems.<br>Collaboration & Governance Collaborate with other stakeholders on data protection strategies. Ensure compliance with Qatar’s NCSA framework and international standards. Conduct data security assessments for vendors and third-party integrations. Review and approve data sharing agreements. Define and track data security KPIs and metrics. Maintain data security dashboards for continuous monitoring. Stay current with emerging threats, technologies, and industry best practices.<br>Requirements8+ years of experience in information security with a focus on data protection, cryptography, and database security. Bilingual (Arabic Speaker) Preferred. Hands-on experience with cloud platforms, especially GCP and Azure. Strong understanding of encryption standards, cryptographic protocols, and key management processes. Practical experience with secrets management (Hashi Corp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Proven expertise in cloud-native data protection across multi-cloud environments. Experience implementing data masking, tokenization, and anonymization techniques. Bachelor’s degree in computer science, Information Security, or related field. Professional certifications such as CISSP, CCSP, CDPSE, or CCSK. Cloud security certifications (GCP, Azure, or AWS Security Specialty) preferred.<br>Required Skillsets Hands-on experience with DLP solutions (Forcepoint, Microsoft Purview, Google Cloud DLP). Implementation of data anonymization, pseudonymization, and masking techniques. Configuration and monitoring of DAM solutions (Imperva, IBM Guardium). Experience with data discovery and classification tools (Forcepoint, Microsoft Purview). Strong knowledge of cryptographic and key management systems (KMS, GCP Cloud KMS, Azure Key Vault). Securing relational, NoSQL, and data lake environments. Performing database vulnerability assessments and security audits. Working knowledge of secret management solutions and integration with CI/CD pipelines.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

ROLES & RESPONSIBILITIES :<br>Data Authority & Accountability Define and enforce data ownership and accountability models Ensure all KPIs and AI features have accountable data owners Act as the final authority for data used in Observatory decisions<br>Data Maturity Governance for Decision Confidence Govern maturity of data supporting KPI interpretation and performance monitoring Assess data stability, consistency, and historical integrity Communicate data confidence levels and limitations to decision-makers<br>Data Governance for AI & Decision Intelligence Govern data suitability for AI training and inference Assess risks such as bias, leakage, and feature instability Support AI accreditation decisions with data authority insights<br>SKILLS & COMPETENCIES :<br>Bachelor’s degree in Information Systems, Data Management, or related field DAMA/CDMP or equivalent certifications preferred

Role :This role is responsible for leading and overseeing the organization's Data Governance function, ensuring that data is trusted, well-defined, protected, and effectively utilized to support business decision-making, AI initiatives, and regulatory compliance. The role acts as the key link between business units, IT, BI, Risk, Privacy, and Compliance functions to establish and sustain a robust data-driven culture. <br>This position owns the Data Governance program end-to-end, including thedevelopment and implementation of governance frameworks, policies, standards, and operating models that ensure data integrity, quality, security, accessibility, and compliance with applicable regulations and industry standards. <br>The role is accountable for the effective management of data quality, metadata, master data, stewardship, and governance processes across the organization. Additionally, the role drives Data Governance projects and strategic initiatives, overseeing execution through the Data Governance Council, coordinating cross-functional stakeholders, managing risks and dependencies, monitoring progress, and ensuring the timely delivery of governance objectives aligned with business priorities. The role also contributes to the development and execution of data and AI governance strategies, fostering innovation, operational excellence, and alignment with the organization's strategic goals.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Experience in Data Management, Governance, Quality and Strategy. Strong understanding of Data governance operating models and best practices. Data privacy laws and compliance frameworks. AI governance, ethical AI principles, and responsible data usage.<br>Minimum Qualifications:Bachelor's Degree in Business Administration or Engineering or Project Management.

Role Objective <br>The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank’s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.<br>Detailed Roles and Responsibilities:<br>Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank’s policies and units/departments approved policies and procedures. Support in development and implementation of the bank’s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations. Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank. Prepare Data Privacy policies, procedures & notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates. Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank. Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs). Perform Data Privacy Impact Assessment of the bank’s business process and IT applications processing personal data of the staff, customers, vendors, etc. Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures. Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.<br>Educational Qualifications and Experience: <br>University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline. Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.

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

Hello!! Greetings from Linnk Group!! Job Title: Data Engineer???? Location: Doha, Qatar???? Experience: 5+ Years???? Employment Type: Yearly Renewable Contract----???? Candidate Preference:✅ Candidates currently based in Qatar only.✅ Arabic & European nationals only.<br>Job Overview We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms supporting analytics and AI initiatives.<br>Key Responsibilities Build and maintain ETL/ELT data pipelines. Develop solutions using Azure Data Factory, Synapse, and Databricks. Manage relational, NoSQL, and vector databases. Design data models and optimize SQL queries. Ensure data quality, governance, and pipeline performance. Collaborate with cross-functional teams to support AI and analytics projects.<br>Required Skills5+ years of Data Engineering experience. Strong Python and SQL skills. Hands-on experience with Azure Data Factory, Synapse, and Databricks. Experience with relational, NoSQL, and vector databases (Pinecone, Weaviate, etc.). Knowledge of ETL/ELT, data modelling, and schema design. Preferred Skills Experience with LLM data preparation, RAG, and semantic search. Knowledge of Azure Open AI or other Gen AI platforms. Familiarity with data governance and compliance.<br>If you are interested in for the role, please do share your CV to subin.pv@linnk.com<br>KR,