As the Director of Data & AI Governance, you will establish and lead enterprise-wide data management programs that ensure safe, compliant, high-quality data and AI. You will oversee Data Governance, AI Governance, and Data + AI Stewardship, serving as the central authority on policies, forums, and controls across R&D, Lab Operations, Commercial, and SG&A domains. You will lead the Data & AI Governance Council through advocacy and a well thought data management strategy.
This role goes beyond policies into technical governance — it requires experience of how to build frameworks, deploy controls in code, and integrate governance into engineering delivery. The role spans all dimensions of governance, including: quality, privacy, security, agentic automation, AI risk management, bias/fairness testing, evals, and vendor AI evaluation.
Define enterprise data management strategy and operating model and ensure that it is executed consistently across the enterprise.
Chair and operationalize the AI & Data Governance Council, driving decision-making and accountability across legal, regulatory, compliance, IT, security, engineering, and product.
Lead a federated stewardship model, ensuring business units own data while governance enforces consistency and compliance.
Establish governance forums (steering committees, working groups, architecture boards) with clear outcome