Carnegie Mellon University CMU is seeking a dynamic, highly collaborative Data and AI Governance Lead to shape and operationalize the framework for how our institution manages, protects, and leverages its most critical data and AI assets. Unlike traditional management roles, this position does not oversee a direct team. Instead, you will act as the university’s primary architect and facilitator of Data and AI Governance, working across academic and administrative units to drive progress through influence, partnership, and expert support. You must be comfortable toggling between high-level strategy policy-making and risk frameworks and hands-on delivery implementing metadata tools and assisting data stewardsKey Responsibilities:Strategy & Framework Design: Lead the design and execution of CMU’s Data and AI governance operating model. Define the policies, standards, and roadmaps that ensure data integrity, privacy, and the responsible use of AI across the university.Influence & Community Building: Build and enable a robust community of practice among distributed Data Stewards and AI practitioners. You will not have "command and control"; authority; success will depend on your ability to build trust, provide value to partners, and align departmental goals with university-wide standards.AI Governance & Risk: Design and operationalize AI governance controls, including model inventories, risk assessments, and ethical reviews. Partner with academic and administrative leads to ensure AI deployment is transparent, fair, and compliant with emerging regulations.AI Data Readiness: Transform our Data assets by establishing a unified metadata layer. You will act as the translator between business Data Analysts, SMEs, and our Data/Analytics Engineering teams, ensuring that business terminology is mapped accurately e.g., ensuring an AI agent understands that a "Full-Time Student" in a financial aid context 12+ credits is distinct fro
