INTELLIGEN

Risk

• Design and implement enterprise data governance frameworks, policies, standards, and operating models aligned to client goals and industry best practice.
• Define the Enterprise Data Governance model and operating rhythm to underpin AI, analytics, and broader data transformation initiatives.
• Establish minimum standards for AI-enabling data, including data quality, lineage, metadata, access, and accountability.
• Map AI governance requirements to existing data governance artefacts, controls, and business processes.
• Contribute to the AI Governance Framework and Operating Model, ensuring alignment between responsible AI practices and enterprise data foundations.
• Define and document data ownership, stewardship, and accountability models across business and technology functions.
• Provide strong day-to-day coordination across client stakeholders, ensuring governance decisions, actions, and dependencies are managed effectively across business and technical teams.
• Support the establishment of data quality management processes, metrics, controls, and monitoring mechanisms.
• Facilitate workshops, stakeholder forums, and training sessions to drive adoption, engagement, and cultural change around data ownership, literacy, and responsible AI.
• Collaborate with client leadership to improve decision-making, regulatory compliance, business performance, and confidence in AI and analytics outcomes.

Senior Consultant, Data Governance