Hiring: Data and AI Governance Lead - Computing Services Company: Carnegie Mellon University Location: Pittsburgh, PA Job Posted Time: 2026-09-15 12:43:11 Employment Type: Full-time Target Skills & Keywords : AI, GDPR, HIPAA, Machine Learning, R, REST About the job Experience: •5+ years of experience in data governance, data management, and experience in AI ethics/policy. Required Skills: •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. •Hands-on Operational Support: "Roll up your sleeves"; to help departments implement governance tooling. Assist in defining data lineage, improving data quality, and documenting metadata for complex institutional datasets. •Cross-Functional Collaboration: Serve as the primary bridge between Information Technology, Information Security Office, the Office of the Provost, and various administrative and academic units. Translate complex technical governance requirements into actionable guidance for non-technical stakeholders. •Metrics & Advocacy: Develop KPIs to track the adoption and health of governance practices. Regularly report progress to university leadership, advocating for the cultural shifts necessary to treat data as a strategic institutional asset. Qualifications: •The "Influence" Factor: Proven track record of leading large-scale initiatives in a federated or decentralized environment (e.g., Higher Ed, Healthcare, or complex R&D organizations) where progress is made through collaboration rather than direct authority. •Strategic Communication: Ability to present complex risk and governance concepts to senior university leadership while being equally effective at coaching a departmental data coordinator on day-to-day data entry standards. •Technical Depth: Familiarity with Data & AI lifecycle management, including experience with metadata management tools, data cataloging, and ML Ops/AI risk frameworks. •AI Readiness: An understanding of AI data readiness, including how traditional machine learning and Agentic AI interact with structured and unstructured data. •Technical Partnership: Experience partnering closely with Data Engineering and Analytics. •Professional certification in Data Management (CDMP) or AI Governance (AIGP). •Knowledge of global data privacy regulations (GDPR, FERPA, HIPAA) as they relate to both administrative data and academic research. •Are you interested in this exciting opportunity?! Apply today! •Joining the CMU team opens the door to an array of exceptional benefits. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!