VP, AI Enablement

Job Summary

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, including establishing a governance framework, guardrails for compliance, policies, processes, and best practices for responsible use and adoption of AI tools, processes, and / or 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, AgenticAI, 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.