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Associate Director, Institutional AI Governance
Education Required: Bachelor's degree.
Preferred Education: Bachelor's degree in Business Administration, Healthcare Administration, Law, Computer Science, Data Science, or a related discipline. Master’s Degree (MBA, MHA, or similar) or advanced degree in a related field such as Computer Science, Data Science, Biomedical Informatics, Public Policy, or Law.
Experience Required:
Eight years of experience with data governance, data analytics, information services, or data management, to include five years of supervisory or management experience. May substitute required education degree with additional years of equivalent experience on a one-to-one basis.
Preferred Experience:
Experience governing AI, analytics, or model-based systems in clinical, research, or other high-risk operational environments
Familiarity with healthcare AI governance frameworks, regulations, and standards (e.g., NIST, ISO, FDA, HIPAA, HHS, ONC, ACR, or equivalents)
Experience scaling AI governance processes across expanding AI portfolios while balancing rigor, efficiency, and adoption
Experience defining, measuring, and tracking AI impact, value, safety, and performance across the AI lifecycle
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

