Sr. Medical Director of Clinical AI Capability Development - Remote

UnitedHealth Group•Tampa, FL
•$292,300 - $438,500•Remote

About The Position

The Senior Medical Director of Clinical AI Capability Development is part of UnitedHealthcare’s UCS Clinical Evidence Group. This physician guides and supports the development of AI products and capabilities that use clinical insight across the organization. The role contributes to a portfolio of AI-enabled clinical capabilities intended to modernize the organization and differentiate it in the market. The position works across product, technology, data science, and clinical teams to develop, launch, and maintain these capabilities. It brings clinical expertise to portfolio vision, capability design, testing, product refinement, and performance monitoring. The role also partners with enterprise stakeholders, supports adherence to AI review board processes, guides vendors, manages 1–3 reports, and oversees the quality and efficiency of clinical and clinically adjacent AI evaluation work. The position reports to the National CMO of the Clinical Evidence Group and may be performed remotely from anywhere in the United States.

Requirements

  • Master’s-level degree or higher in statistics, epidemiology, health services research, or a related field.
  • Active, unrestricted state medical licensure.
  • Active, unrestricted board certification in an ABMS/AOBMS specialty.
  • At least 5 years of experience as a clinician (MD, DO, or equivalent).
  • At least 3 years of experience in health plan administration, health services research, quality assurance, or comparable work.
  • At least 3 years of experience serving as a consultant or leading a team responsible for care quality improvement or product development and production.
  • Ability to understand and efficiently interpret extensive data on audit performance measurement, evaluation reproducibility, and quality.
  • Deep understanding of health plan medical policies, benefits, formularies, and payment integrity policies.
  • Ability to work collaboratively with clinicians, administrators, product teams, data scientists, and customers.
  • Ability to drive process standardization without suppressing creativity.
  • Ability to navigate complex conversations with partners, customers, and vendors.
  • Flexibility, agility, and ability to adapt to change while staying organized and maintaining strong relationships.
  • Proficiency in standard office software packages.

Nice To Haves

  • Experience designing, testing, and monitoring clinical AI capabilities.

Responsibilities

  • Bring clinical expertise and a clear clinical perspective to AI portfolio vision, capability design, testing specifications and rubrics, audits of testing results, product refinement, and ongoing performance monitoring.
  • Collaboratively establish standards for clinical performance measurement and thresholds, applying use-case-specific flexibility where appropriate.
  • Work collaboratively with enterprise partners driving the portfolio of AI-enabled clinical capabilities.
  • Understand collaborator and customer goals and needs, and maintain a product and product lifecycle management mindset.
  • Understand and support adherence to enterprise AI review board processes.
  • Guide and oversee engaged AI product support vendors.
  • Manage 1–3 reports supporting the aims of the role.
  • Oversee the quality and efficiency of the AI evaluation team on clinical and clinically adjacent matters, such as benefits.
  • Communicate progress, concerns, and creative problem-solving clearly and completely to partners and the National CMO of the Clinical Evidence Group.

Benefits

  • Comprehensive benefits package, subject to eligibility requirements.
  • Incentive and recognition programs, subject to eligibility requirements.
  • Equity stock purchase, subject to eligibility requirements.
  • 401(k) contribution, subject to eligibility requirements.
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