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Public companyPosted 21 days ago

VP, Artificial Intelligence Vendor Governance & Oversight

Full-time
Remote
12+ years
$214K – $418K/yr
Posted 21 days ago

Molina Healthcare is seeking an executive to lead enterprise AI vendor governance and oversight. The role establishes governance frameworks, policies, risk controls, and monitoring practices to support responsible AI adoption and regulatory compliance across the AI lifecycle.

Posted
21 days ago
Source
hckd.fa.us2.oraclecloud.com
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • 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

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

  • 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
  • Master’s Degree

Required skills

Artificial Intelligence GovernanceCybersecurityData PrivacyEnterprise Risk ManagementExecutive CommunicationGenerative AIHealthcare Regulatory ComplianceHealthcare and Managed CareLarge Language ModelsMachine LearningModel Risk ManagementResponsible AIStakeholder ManagementThird-Party Risk Management

Nice to have

(31)(33)(35)(43)(45)(55)(56)*20261320202021202220232024

Full job description

Molina Healthcare is seeking an executive to lead enterprise AI vendor governance and oversight. The role establishes governance frameworks, policies, risk controls, and monitoring practices to support responsible AI adoption and regulatory compliance across the AI lifecycle.

Responsibilities

  • 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

Preferred

  • 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
  • Master’s Degree
  • Business Administration
  • Healthcare Administration
  • Data Science
  • Law
  • Public Policy
  • Risk Management
  • Health Insurance
  • Medicare
  • Medicaid
  • Clinical Operations
  • Regulated Healthcare
  • AI Governance Frameworks
  • Privacy Impact Assessments
  • Security Risk Assessments
  • Regulatory Readiness
  • Audit Support
  • Risk Certification
  • Privacy Certification
  • Security Certification
  • Compliance Certification
  • Audit Certification
  • Governance Certification
  • Artificial Intelligence Certification

Company

  • Government-sponsored health plans for families and individuals
  • Long Beach, California, USA
  • https://investors.molinahealthcare.com/
  • Founded in 1980
  • 10001+ employees

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
  • 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
  • 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.

Required skills

  • Artificial Intelligence Governance, Cybersecurity, Data Privacy, Enterprise Risk Management, Executive Communication, Generative AI, Healthcare Regulatory Compliance, Healthcare and Managed Care, Large Language Models, Machine Learning, Model Risk Management, Responsible AI, Stakeholder Management, Third-Party Risk Management

Preferred skills

  • (31), (33), (35), (43), (45), (55), (56), *2026, 13, 2020, 2021, 2022, 2023, 2024, 2025, 3.2, Accounting and Finance, Customer Service and Support, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Glassdoor, H1B Sponsorship, Human Resources, Long Beach, California, USA, Management and Executive, Public Company, Represents job field similar to this job, Trends of Total Sponsorships, https://investors.molinahealthcare.com/

Experience

  • 12+ years

Job details

Employment type

Full-time

Seniority level

12+ years

Date posted

Oct 23, 2026

Work mode

Remote

Job source

hckd.fa.us2.oraclecloud.com

Company

Public company

Information Technology & AI

Government-sponsored health plans for families and individuals

See all 835 jobs from Public company →

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VP, Artificial Intelligence Vendor Governance & Oversight

Public company · $214K – $418K/yr

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