Job Description

Roles & Responsibilities

The IT Project Manager- Data Governanace 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.

Duties & Responsibilities:

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

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

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

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

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

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.

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

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

Usability & Adoption:

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

Desired Candidate Profile

Qualification & Experience:

• Bachelors Degree in Computer Science
• Minimum 6 + Years Experience in data governance ,data management or related discipline.
• Project Management Professional (PMP) or PRINCE2 for core management methodology.
• Professional certification in Data management & Governance