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Job Details

Skills

Strategy Development
Partnership
Documentation
Inventory
Internal Auditing
Use Cases
Due Diligence
Performance Monitoring
Contingency Plan
Retail
Middleware
Software Design
Change Management
Team Leadership
Clarity
IT Risk Management
IT Risk
Information Security
Management
Leadership
Cyber Security
Reporting
Ideation
Accountability
Communication
Collaboration
Stakeholder Management
Mentorship
Cloud Computing
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Decision Support
Innovation
Business Administration
Health Care Administration
Information Technology
Data Science
Law
Health Insurance
Medicare
Medicaid
Risk Management
Risk Assessment
Privacy
Regulatory Compliance
Auditing
Artificial Intelligence
Job Boards
Health Care

Strategy Development
Partnership
Documentation
Inventory
Internal Auditing
Use Cases
Due Diligence
Performance Monitoring
Contingency Plan
Retail
Middleware
Software Design
Change Management
Team Leadership
Clarity
IT Risk Management
IT Risk
Information Security
Management
Leadership
Cyber Security
Reporting
Ideation
Accountability
Communication
Collaboration
Stakeholder Management
Mentorship
Cloud Computing
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Decision Support
Innovation
Business Administration
Health Care Administration
Information Technology
Data Science
Law
Health Insurance
Medicare
Medicaid
Risk Management
Risk Assessment
Privacy
Regulatory Compliance
Auditing
Artificial Intelligence
Job Boards
Health Care

Summary

Job Description

JOB DESCRIPTION Job Summary
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121991
Position Id: 66bfc6210bce650bb161443ea58dd36a
Posted 2 hours ago

Job Details

Skills

Strategy Development
Partnership
Documentation
Inventory
Internal Auditing
Use Cases
Due Diligence
Performance Monitoring
Contingency Plan
Retail
Middleware
Software Design
Change Management
Team Leadership
Clarity
IT Risk Management
IT Risk
Information Security
Management
Leadership
Cyber Security
Reporting
Ideation
Accountability
Communication
Collaboration
Stakeholder Management
Mentorship
Cloud Computing
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Decision Support
Innovation
Business Administration
Health Care Administration
Information Technology
Data Science
Law
Health Insurance
Medicare
Medicaid
Risk Management
Risk Assessment
Privacy
Regulatory Compliance
Auditing
Artificial Intelligence
Job Boards
Health Care

Strategy Development
Partnership
Documentation
Inventory
Internal Auditing
Use Cases
Due Diligence
Performance Monitoring
Contingency Plan
Retail
Middleware
Software Design
Change Management
Team Leadership
Clarity
IT Risk Management
IT Risk
Information Security
Management
Leadership
Cyber Security
Reporting
Ideation
Accountability
Communication
Collaboration
Stakeholder Management
Mentorship
Cloud Computing
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Decision Support
Innovation
Business Administration
Health Care Administration
Information Technology
Data Science
Law
Health Insurance
Medicare
Medicaid
Risk Management
Risk Assessment
Privacy
Regulatory Compliance
Auditing
Artificial Intelligence
Job Boards
Health Care

Summary

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.

Dice Id: 10121991
Position Id: 66bfc6210bce650bb161443ea58dd36a
Posted 2 hours ago

AI Governance Director

Remote

•

Today

Overview The Artificial Intelligence Governance, Director provides enterprise-wide oversight, coordination, and visibility for Cotiviti's AI governance framework, ensuring consistent documentation, responsible AI use, regulatory readiness, and ongoing post deployment compliance monitoring across all business units. The position operates with significant autonomy at the Enterprise level to develop and oversee enterprise AI governance standards, compliance reporting mechanisms, and evidence coll

Full-time

USD 130,000.00 - 180,000.00 per year

VP, Artificial Intelligence Vendor Governance & Oversight (Remote)

Skills

Summary

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