AI Governance Framework & Operating Model
Lead and evolve the institutional AI governance framework, including policies, standards, and operating procedures.
Define and maintain governance checkpoints across the AI lifecycle (intake, review, approval, monitoring, retirement).
Design and operate the AI governance operating model, including workflows, documentation standards, and decision processes.
Coordinate cross-functional engagement to ensure governance execution without duplicating operational ownership.
Provide oversight for governance tooling, AI inventory management, and reporting standards.
Monitor emerging AI regulations, ethics guidance, and best practices; translate insights into governance actions.
Continuously improve governance effectiveness, efficiency, stakeholder experience, and scalability.
Execution & Orchestration of Institutional AI Governance
Operate the centralized AI governance process supporting the Institutional AI Governance Council and related committees.
Oversee governance intake, triage, and review activities across clinical, research, operational, and enterprise AI initiatives.
Ensure governance reviews include appropriate evidence on use cases, risks, controls, performance, impact, and value.
Maintain an authoritative institution-wide AI inventory with complete lifecycle traceability.
Document, communicate, and track governance decisions, required controls, and approval conditions.
Produce governance reporting on AI risks, safety, performance, and institutional impact for executive oversight.
Serve as the escalation point for governance process issues, exceptions, and questions.
Stakeholder Engagement & Institutional Alignment
Facilitate collaboration among clinical, research, technical, legal, compliance, privacy, and security stakeholders.
Provide clear guidance on governance requirements, expected evidence, and lifecycle obligations.
Communicate AI governance requirements and decisions in a timely, clear, and actionable manner.
Support governance bodies by framing tradeoffs, risks, and decision paths in complex and time-sensitive @contexts.
Competencies
Technical Expertise
Applied understanding of AI/ML systems in healthcare to evaluate risks, controls, and intended use.
Experience implementing and operating AI governance platforms and automated workflows.
Strong knowledge of regulatory, legal, and ethical requirements for AI in healthcare.
Ability to define governance expectations for AI monitoring, re-review, change management, and retirement.
Analytical Expertise
Translate regulatory or policy requirements into enforceable standards and review criteria.
Assess AI systems against governance requirements and recommend defensible decisions.
Identify, prioritize, and communicate AI risk across clinical, operational, and regulatory domains.
Evaluate AI impact and safety using measurable indicators.
Convert governance decisions into actionable control requirements and conditions.
Oral & Written Communication
Create standardized governance communication templates, intake guidance, and reporting formats.
Communicate decisions, rationale, and control requirements clearly to a variety of audiences.
Prepare audit-ready governance documentation and exception justifications.
Facilitate difficult governance discussions and communicate decisions under time pressure and regulatory scrutiny.
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 https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs, 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.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
Requisition ID: 178273
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 146,500
Midpoint Salary: US Dollar (USD) 183,000
Maximum Salary : US Dollar (USD) 219,500
FLSA: exempt and not eligible for overtime pay
Fund Type: Hard
Work Location: Remote (within Texas only)
Pivotal Position: Yes
Referral Bonus Available?: Yes
Relocation Assistance Available?: Yes
LI-Remote
