VP, AI Enablement

Artificial Intelligence Center Of Excellence Lead

Leads the development and activation of Molina's Artificial Intelligence (AI) Center of Excellence (CoE), responsible for enterprise-wide AI strategy, including identification, evaluation, deployment, and value realization of AI solutions. In partnership with technology and business leaders, define what can be achieved through AI and scale high-performing solutions across the organization.

Job Duties:

• Leads Molina's AI Center of Excellence, including developing and driving Molina's AI strategy and roadmap, establishing a governance framework, guardrails for compliance, policies, processes, and best practices for responsible use and adoption of AI tools and technological enhancements across the enterprise.
• Develops robust pipeline of AI solutions through intake and evaluation of use cases for deployment.
• Responsible for the ideation, solution evaluation, recommendations, and portfolio rationalization/prioritization of GenAI, Agentic
  
  AI, and Artificial General Intelligence (AGI) solutions.
• Leads implementation planning and change management for AI solutions, including establishing mechanisms and tools to track portfolio performance.
• Responsible for value realization post-AI solution deployments, from targeted productivity gains to end‑to‑end reimagining of workflows and managed care experiences.
• Collaborates with IT and business leaders to support internal solution development and vendor partnerships.
• Partners with Legal, Compliance, and Information Security to manage risk and data privacy.
• Manages AI COE team, supporting portfolio pipelining, development, and implementation of AI solutions.
• Oversight of AI champion network, supporting adoption and sustainability of AI solutions enterprise‑wide.

Job Qualifications:

Required Qualifications:

• At least 12 years of experience in managed care, including strategy, enterprise transformation, digital innovation, technology solutions, or equivalent combination of relevant education and experience.
• 7 years management/leadership experience.
• Proven history of implementing enterprise AI solutions in regulated environments.
• Strong cross‑functional collaboration and stakeholder management skills.
• Experience with budget planning, compliance frameworks, and performance metrics.
• Record of leading business transformations, from strategy through execution.
• Conceptual understanding of the AI/ML technologies and solution development lifecycle, from ideation through deployment and monitoring.
• Familiarity with ethical AI principles and risk management.
• Demonstrated ability to lead, mentor, and develop high‑performing teams in a matrixed business environment.
• Experience with ambiguity and the ability to drive initiatives from concepts to value realization.