Senior Director AI/ML Engineering
Optum/UHG · Gurgaon, Haryana, India · US
Software Engineering
–
Pharmacist
Demand88
Career growth84
Healthcare fit30
Remote potential55
5-year outlook
Senior executive AI/ML compensation in a large healthcare enterprise is likely competitive and tied to enterprise value delivery; exact figures are not stated. Outlook is strong for leaders with proven AI platform and governance experience, though healthcare cost pressure and AI regulation may shape scope.
Clinical license
Not required
Applicant reach
narrow
Seniority
executive
Employment type
–
Date found
2026-10-22
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Pharmacist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Most clinicians should not apply unless they already have senior AI/ML engineering leadership experience. It is worth considering for clinician-engineers with executive-level platform, governance, and team-scaling track records.
Who should apply
Physician-engineers, clinical informaticists, or nurse/pharmacist leaders who have moved into senior AI/ML, data platform, or engineering leadership roles, especially with payer/provider or pharmacy-benefits experience.
CV angle
Lead with senior engineering leadership scope, AI platform ownership, model deployment, governance, and measurable business outcomes; use healthcare experience to show domain context and stakeholder credibility, not as a substitute for technical leadership.
Skills to highlight
- Enterprise AI/ML strategy
- AI platform architecture and MLOps
- Responsible AI governance and compliance
- Cloud infrastructure and production operations
- Engineering leadership and organizational design
- Cross-functional executive stakeholder management
- Healthcare payer/provider data context
- Value realization and productivity measurement
Role summary
Senior executive leading Optum/UHG enterprise AI/ML engineering, including strategy, platform architecture, model deployment, intelligent automation, Responsible AI governance, and distributed engineering teams.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.