Data Governance / Project Manager

Scope of Work – Data Governance / Project Manager

The Project Manager is responsible for leading the end-to-end delivery of assigned initiatives, ensuring alignment with the Group's business strategy, regulatory requirements, and digital goals.

1. Metadata Management & Data Catalog

• Centralized, searchable data catalog covering data assets across on‑prem, cloud, and hybrid environments
• Automated metadata discovery and harvesting
• Business and technical metadata support, including data definitions, ownership, and usage context
• Ability to document and manage data products and critical data elements

2. Data Lineage & Impact Analysis

• End‑to‑end, preferably automated, data lineage (source‑to‑target)
• Visual lineage for business and technical users
• Impact analysis to assess downstream effects of changes to data, models, or systems
• Support for SQL, ETL, ELT, BI, and analytics pipelines

3. Data Quality Management

• Definition and monitoring of data quality rules and thresholds
• Support for profiling, validation, and exception management
• Data quality dashboards and scorecards
• Workflow for issue remediation and accountability

4. Governance, Stewardship & Workflow

• Clearly defined governance roles (e.g., Data Owner, Data Steward, Custodian)
• Configurable workflows for approvals, certifications, and issue management
• Policy management and enforcement capabilities
• Evidence and audit trail for governance decisions

5. Security, Privacy & Compliance

• Classification of sensitive and regulated data (e.g., PII, confidential data)
• Integration with enterprise Identity Access Management for role‑based access control
• Support for privacy regulations and internal data policies
• Data access transparency and auditability

6. AI & Analytics Enablement

• Support for AI‑ready data governance, including datasets, features, and models
• Trust, explainability, and lineage for AI and advanced analytics use cases
• Alignment with responsible and ethical AI principles
• Integration with analytics and machine learning platforms

7. Integration & Interoperability

• Native connectors or APIs for data platforms (cloud warehouses, lakes, ETL tools, BI, ML platforms)
• Open architecture to avoid vendor lock‑in
• Ability to integrate with existing enterprise architecture and tooling

8. Scalability & Performance

• Proven capability to scale across large data estates and multiple domains
• Support for enterprise‑wide deployment and federated governance models
• High availability, reliability, and performance

9. Usability & Adoption

• Intuitive user experience for both technical and business users
• Self‑service capabilities with appropriate controls
• Collaboration features (comments, annotations, ownership visibility)

10. Reporting & Metrics

• Governance KPIs and dashboards (e.g., data quality, adoption, compliance)
• Executive‑level reporting capabilities
• Custom reporting and export options

Job Types: Full-time, Contract
Contract length: 12 months

Pay: BD1,000.000 - BD2,500.000 per month

Work Location: In person