[Hiring] Senior Medical Director of Clinical AI Capability Development @UnitedHealth Group

Role Description

The Senior Medical Director of Clinical AI Capability Development is part of the UCS Clinical Evidence Group. This physician is responsible for guiding and supporting the development of AI products and capabilities that leverage clinical insight across the organization. Throughout UHG, teams are collaborating to develop, launch, and maintain a portfolio of AI-leveraging clinical capabilities. We believe success in this space will enable modernization and market differentiation.

The development of envisioned capabilities and products will depend on a team of teams spanning product, tech, data science, and clinical divisions. The collaborative approach will ensure that we fully leverage internal expertise and accelerate our progress in this space.

The incumbent will report to the National CMO of the Clinical Evidence Group. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities

• Guide & Partner
• Bring a sharp clinical lens and clear clinical voice to the AI portfolio vision and capability design, testing specifications (rubrics), testing results audits, product refinement, and ongoing performance monitoring.
• Collaboratively set standards of clinical performance measurement and performance thresholds with discipline, applying use-case specific parameter flexibility as appropriate.
• Work closely and collaboratively with the enterprise partners collectively driving our portfolio of AI-leveraging clinical capabilities.
• Explore and understand fully the aims and needs of our collaborators and customers - adopt and maintain a product and product lifecycle management mindset.
• Understand and support the successful adherence to enterprise AI review board processes.
• Collaboratively guide and oversee engaged AI product support vendors.
• Manage 1-3 reports charged with supporting the aims of the role.
• Oversee the quality and efficiency of AI evaluation team for all things clinical and clinical adjacent (e.g. benefits).
• Maintain clear and complete communication of progress, concerns, and creative problem solving with partners and the National CMO of the Clinical Evidence Group.

Qualifications

• Masters level degree (or higher) in statistics, epidemiology, health services research or a related field.
• Active/unrestricted State(s) Medical Licensure.
• Active/unrestricted Board Certification in an ABMS/AOBMS Specialty.
• 5+ years of experience as a clinician (MD, DO or equivalent).
• 3+ years of experience in health plan administration, health services research, quality assurance or comparable experience.
• 3+ years of experience serving as a consultant or leading a team on point for care quality improvement or product development and production.
• Demonstrated ability to understand and efficiently interpret expansive data on audit performance measurement, evaluation reproducibility and quality.
• Deep understanding of health plan medical policies, benefits, formularies and payment integrity policies.
• Demonstrated ability to work collaboratively with clinicians, administrators, product teams, data scientists and customers.
• Demonstrated ability to drive process standardizations without suppressing creativity.
• Demonstrated ability to navigate complex conversations with partners, customers and vendors.
• Demonstrated flexibility, agility and the ability to adapt to change while staying organized and maintaining strong relationships.
• Proficient in standard office software packages.

Preferred Qualifications

• Experience with clinical AI capability designing, testing and monitoring.

Benefits

• A comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).

Salary Information

The salary for this role will range from $292,300 - $438,500 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.