Description

You will lead enterprise-wide data management and AI governance programs, ensuring safe, compliant, and high-quality data and AI across all domains. This role involves building technical governance frameworks, deploying controls in code, and integrating governance into engineering delivery.

Requirements

• Experience building governance frameworks and deploying controls in code
• Expertise in data quality, privacy, security, and AI risk management
• Ability to integrate governance into engineering delivery
• Experience with data catalogs, metadata services, and lineage tracking
• Knowledge of bias/fairness testing, evals, and vendor AI evaluation

Responsibilities

• Define enterprise data management strategy and operating model
• Chair and operationalize the AI Data Governance Council
• Lead a federated stewardship model across business units
• Build and drive adoption of master/reference datasets
• Develop AI use case risk management framework (RMF)