MD Anderson Cancer Center · 18 hours ago
Associate Director, Institutional AI Governance
United States
Full-time
Remote
Senior Level, Lead/Staff, Director/Executive
$146K/yr - $220K/yr
8+ years expMD Anderson Cancer Center is seeking an Associate Director, Institutional AI Governance to lead governance processes that safeguard patient trust and ensure responsible AI innovation. This high-impact leadership role involves defining and improving the institution's AI governance framework, orchestrating cross-functional participation, and ensuring compliance as AI adoption grows.
Health CareHealth DiagnosticsHospitalMedical
Responsibilities
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
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
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
Qualification
Required
Bachelor's degree
Eight years of experience with data governance, data analytics, information services, or data management, to include five years of supervisory or management experience
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
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
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
Preferred
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 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
Benefits
Paid medical benefits
Generous PTO
Highly competitive retirement plans
Tuition benefits
Educational opportunities
Individual and team recognition
Company
MD Anderson Cancer Center
MD Anderson Cancer Center is a cancer treatment and research institution which gives treatment, and research of all types of cancer.
10001+ employees
H1B Sponsorship
MD Anderson Cancer Center has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$16.2MKey Investors
Break Through CancerGastro-Intestinal Research Foundation
2023-05-16Grant· $2.7M
2023-01-24Grant· $3.5M
2022-04-19Grant· $10M
Leadership Team
D
David Tweardy
Professor
Recent News
2026-01-19
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