Project Manager - Data Governance

Virtuthinko W. L; Manama; On-site; BHD 12,000 - 18,000; Full time

Job summary

Virtuthinko W. L is seeking a Project Manager to lead end-to-end delivery of initiatives aligned with business strategy, regulatory requirements, and digital goals.

The role encompasses metadata management, data cataloging, data quality, governance, and security across on-prem, cloud, and hybrid environments. The ideal candidate will oversee data lineage, impact analysis, and workflow governance, ensuring AI readiness and enterprise interoperability while delivering measurable governance KPIs

Responsibilities

• Lead end-to-end delivery of assigned initiatives.
• Oversee metadata management, data cataloging, and data product documentation.
• Coordinate data lineage, impact analysis, and monitoring across on-prem, cloud, and hybrid environments.
• Define data quality rules, thresholds, profiling, validation, and dashboards.
• Establish governance, stewardship, workflow, and policy enforcement with audit trails.
• Ensure security, privacy, and regulatory compliance (PII, access controls).
• Support AI/analytics readiness with trusted data and model lineage.
• Enable interoperability with connectors, APIs, and enterprise tooling.
• Promote usability with self-service capabilities and collaboration features.
• Provide governance KPIs, executive reporting, and customizable exports.

Job description

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.

Responsibilities

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