AI Governance and Evaluation Executive

With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the No. 1 hospital in Dallas-Fort Worth according to U.S. News & World Report , we invest in you with opportunities for career growth and development to align with your future goals.

Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!

The AI Governance and Evaluation Executive is the program and operations leader responsible for implementing, scaling, and continuously improving UTSW's enterprise approach to responsible AI governance and evaluation. Reporting to the CAIO, this role executes the governance and evaluation roadmap and adoption plan across the health system, research and academic mission, biomedical education, and administrative and business functions.
*** The leader in this role converts enterprise direction into annual priorities and repeatable workflows for intake, classification, evaluation, review, vendor assessment, deployment conditions, monitoring, reassessment, and stakeholder support. The role maintains enterprise portfolio visibility, drives reuse and consistency, and coordinates cross-functional execution and works closely with Compliance, Information Security, and Information Technology Services on AI risk management, while those functions retain formal ownership of their respective risk-management domains.

UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100% coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer
• Learn more about these and other UTSW employee benefits!

• Education Master's Degree in Public Health, Biomedical Informatics, Data Science, Computer Science, Engineering, Research Administration, or a related field.
• Experience 8 years of progressively responsible experience in AI, digital health, healthcare operations, technology governance, clinical informatics, data analytics, research administration, compliance, or a related field.
• 4 years leading people, programs, or complex cross-functional initiatives.
• Demonstrated experience operating cross-functional governance, evaluation, assurance, or enterprise programs.
• Demonstrated experience implementing enterprise roadmaps, operating models, or new capabilities, and translating priorities into measurable outcomes.

• Education PhD or additional advanced degree in a related field.
• Experience Experience in an academic medical center, integrated health system, life sciences organization, or similarly complex regulated environment.
• Experience with AI/ML evaluation, deployment, governance, responsible AI, or assurance.
• Experience evaluating AI vendors and coordinating due diligence.
• Technical fluency across LLM ecosystems, MLOps, retrieval and vector technologies, AI APIs and integrations, lifecycle monitoring, and incident-response interfaces sufficient to engage technical teams and assess governance evidence.
• Experience building or scaling a new team or function and managing tools, vendors, contracts, or external resources.
• Familiarity with generative AI, LLMs, multimodal models, foundation models, and agentic AI.
• Working knowledge of healthcare AI evaluation and lifecycle monitoring, including quantitative methods and model cards.
• Familiarity with NIST AI RMF, ISO/IEC 42001, and related responsible AI frameworks or standards.

• Lead Governance and Evaluation Operations and Roadmap Execution Independently run the day-to-day enterprise Responsible AI Governance and Evaluation program on behalf of the CAIO.
• Translate program strategy into an annual operating roadmap, including priorities, dependencies, resource needs, adoption…