Data Governance Manager (Agentic AI)

About the role

A listed organization investing in enterprise data capabilities and next-generation AI adoption is hiring a Manager to drive its Master Data strategy and evolve data governance for an increasingly AI-driven environment. The role is hands-on and foundational, building the agents and orchestrators that automate governance while bridging technical teams and business stakeholders.

Key responsibilities

• Own the build-out of the enterprise Master Data capability and data governance across multiple business segments
• Build the Master Data framework and operating model, and program-manage rollout across segments
• Define ownership, stewardship and authoritative sources, and drive remediation of duplication and inconsistency
• Build AI agents and orchestrators to automate governance, with automation built into every rollout
• Design metadata capabilities, including lineage, ontologies and knowledge graphs
• Deliver PoCs and MVPs that prove out the data strategy
• Develop data policies, standards, KPIs and dashboards with business and IT stakeholders
• Partner with stewards to onboard data assets onto the governance tool, and lead workshops and training to drive adoption

Required profile

• Proven experience implementing Master Data Management and data governance across a large enterprise or multiple business units
• Strong stakeholder leadership, bridging technical and business teams, with experience running workshops and training
• Analytical, root-cause problem solver, thorough in documentation, testing and process design

Required skills

• Deep knowledge of master data design, including identifiers, authoritative sources, stewardship and mastering patterns
• Working knowledge of ontologies, knowledge graphs, metadata and data lineage
• Hands-on exposure to AI agents, orchestrators and automation applied to governance