Data and AI Governance Manager

Strategy & Framework Design:

• Lead the design, implementation, and continuous improvement of the enterprise Data & AI Governance framework, aligned to DCAM maturity levels, NIST AI RMF core functions, and ISO 42001 requirements.
• Own & Direct the development and lifecycle management of data governance policies, AI governance standards, data quality rules, and metadata management practices across all business domains.
• Define and maintain a clear governance operating model, including data stewardship accountabilities, decision rights, escalation paths, and governance council structures.

Data Quality & Stewardship:

• Establish and embed enterprise data quality standards and measurement frameworks, working with Data Stewards across business domains to drive accountability and remediation.
• Oversee data classification, critical data element identification, metadata management, and Collibra DIC management to ensure consistent governance across all data domains.
• Facilitate the Data Governance Council and domain stewardship forums, preparing agenda, tracking actions, and ensuring governance decisions are documented and communicated effectively.

Team Leadership & Development:

• Manage & Develop a high-performing team of five governance professionals, setting clear objectives, providing coaching, conducting performance reviews, and fostering an inclusive and collaborative team culture.
• Allocate team capacity and resources effectively across governance tasks and initiatives, ensuring delivery against agreed milestones and outcomes.
• Mentor team members on data governance methodologies, AI risk concepts, and industry frameworks to build internal capability and career growth.