VP, Artificial Intelligence Vendor Governance & Oversight

Leads the executive strategy development, vision and direction for the activation of Molina’s enterprise Artificial Intelligence (AI) governance & vendor oversight strategy and operating framework, responsible for AI vendor oversight, regulatory compliance, risk management, model governance, and value protection across the AI lifecycle. In partnership with technology and business leaders, establishes clear decision rights, controls, and monitoring practices that enable Molina to scale vended AI solutions responsibly, securely, and consistently across the organization.

Essential Job Duties

• Leads Molina’s enterprise AI vendor governance strategy and operating framework, including governance bodies, decision rights, approval pathways, policies, standards, controls, and guardrails for the responsible use and adoption of AI tools, models, processes, and technological enhancements across the enterprise.
• Develops and maintains enterprise policies and standards for responsible AI, model risk management, data privacy, cybersecurity, regulatory compliance, explainability, human oversight, documentation, and ongoing monitoring.
• Leads risk-based intake, review, and approval processes for AI use cases and vended solutions across the AI lifecycle, from ideation and development through deployment, operation, material change, and retirement.
• Establishes and maintains Molina’s enterprise AI inventory, risk classification methodology, control library, evidence requirements, and performance-monitoring mechanisms.
• Defines escalation protocols and accountability for AI risks, control gaps, incidents, exceptions, and remediation, including recommendations to pause, restrict, modify, or retire AI solutions when risk thresholds are exceeded.
• Chairs or provides executive leadership to AI governance and approval committees, ensuring timely, transparent, and documented decisions aligned with enterprise priorities and risk appetite.
• Partners with Legal, Compliance, Privacy, Information Security, Internal Audit, Enterprise Risk Management, Technology, Clinical, Operations, and business leaders to integrate AI governance into existing enterprise risk and control frameworks.
• Ensures AI vended solutions comply with applicable CMS, state, healthcare, privacy, security, and contractual requirements, with specific consideration for PHI, PII, clinical and coverage decision support, member communications, and other high-impact managed care use cases.
• Leads governance and oversight for third-party AI products and services, including vendor due diligence, contracting requirements, risk assessments, control validation, performance monitoring, and exit or contingency planning.
• Establishes executive reporting and metrics that provide visibility into AI portfolio risk, control effectiveness, regulatory readiness, incidents, remediation, and responsible AI adoption.
• Collaborates with Molina’s AI Institutional, Retail, Middleware, Engineering, and business value-stream leaders to embed governance requirements into solution design, implementation planning, change management, vended solutions and value realization.
• Represents Molina in external AI governance, regulatory, industry, and vendor forums; monitors emerging laws, standards, and practices and translates changes into actionable enterprise requirements.
• Builds and develops a high-performing AI governance and oversight capabilities, including team leadership, role clarity, governance education, and enterprise-wide awareness of responsible AI expectations.

Required Qualifications

• At least 12 years of progressive experience in managed care, governance, compliance, enterprise risk management, technology risk, privacy, information security, audit, healthcare operations, or equivalent combination of relevant education and experience.
• At least 7 years of management or leadership experience.
• Demonstrated experience establishing or leading governance frameworks for artificial intelligence, emerging technology, data, models, or other high-impact enterprise capabilities in regulated environments.
• Strong knowledge of healthcare regulatory and compliance requirements, enterprise risk management, model risk, data privacy, cybersecurity, and third-party risk management.
• Experience designing policies, standards, controls, risk assessments, approval processes, monitoring mechanisms, and executive reporting for complex enterprise programs.
• Conceptual understanding of AI and machine learning technologies and the solution lifecycle, from ideation and development through deployment, monitoring, and retirement.
• Strong understanding of responsible AI principles, including fairness, transparency, explainability, accountability, human oversight, privacy, security, and reliability.
• Demonstrated ability to translate evolving regulatory requirements and technical risks into practical business controls and operating practices.
• Strong executive communication, cross-functional collaboration, stakeholder management, and influence skills in a matrixed environment.
• Demonstrated ability to lead, mentor, and develop high-performing teams and to drive initiatives from concepts through implementation and sustained operation.
• Experience assessing third-party AI products, cloud-based AI services, large language models, generative AI, agentic AI, machine learning, or automated decision-support systems.
• Experience operating with ambiguity and balancing innovation, member and patient impact, regulatory obligations, operational feasibility, and business value.

Preferred Qualifications

• Master’s degree in business administration, Healthcare Administration, Information Technology, Data Science, Law, Public Policy, Risk Management, or related field.
• Experience in health insurance, managed care, Medicare, Medicaid, Marketplace, clinical operations, or other highly regulated healthcare environments.
• Experience with AI governance frameworks, model risk management standards, privacy impact assessments, security risk assessments, regulatory readiness, or audit support.
• Relevant certification in risk, privacy, security, compliance, audit, governance, or artificial intelligence.

To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V

Originally posted on Himalayas