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VP, AI Enablement
VP, AI EnablementArizona Staffing • Phoenix, AZ, US
VP, AI Enablement

VP, AI Enablement

Arizona Staffing • Phoenix, AZ, US
2 days ago
Job type
  • Full-time
Job description

Artificial Intelligence Center Of Excellence Leader

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.
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