Remote Chief Clinical AI Leader

GovCIO

Lansing (MI)

Remote

USD 275,000 - 350,000

Full time

45 hours ago
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Benefits offered by this job

Employee Assistance Program (EAP)
Corporate Discounts
Learning & Development platform
Training, Education and Certification
Referral Bonus Program
Internal Mobility Program
Pet Insurance
Flexible Work Environment

Job summary

GovCIO is seeking a physician executive to lead clinical AI initiatives that improve care and reduce administrative burden. The role connects frontline clinical needs with technology strategy, product development, and delivery, starting with VA programs and expanding to other markets.

The executive will drive governance, evidence-based decision making, and partnerships across clinical, engineering, and leadership teams while ensuring safety, cost-effectiveness, and value delivery.

Qualifications

  • Medical degree from an accredited medical school and active physician license in the US.
  • Progressive physician leadership experience in health informatics, clinical operations, or healthcare transformation.
  • Experience evaluating or implementing AI-enabled clinical tools and measuring results.

Responsibilities

  • Define and lead the clinical AI strategy and investment roadmap.
  • Lead clinical solution design from discovery through adoption with clear requirements and plans.
  • Provide clinical leadership across VA programs and manage evaluation activities.

Skills

Medical leadership
AI in healthcare
Executive communication
Clinical informatics
EHR & interoperability
Cross-functional leadership

Education

MD degree
Residency completed
US medical license

Tools

Palantir Foundry
AIP
Ambient AI

Job description

GovCIO is seeking a physician executive to lead clinical AI initiatives that improve care and reduce administrative burden. The role connects frontline clinical needs with technology strategy, product development, and delivery, starting with VA programs and expanding to other markets.

The executive will drive governance, evidence-based decision making, and partnerships across clinical, engineering, and leadership teams while ensuring safety, cost-effectiveness, and value delivery.

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