VP AI ML Engineering, Medicare & Retirement at UnitedHealth Group
Minnetonka, MN
$200,400–$343,500from the description
Jul 28, 2026
Minnetonka, MN
Jul 29, 2026
What this job asks for AI summary
A Vice President–level engineering leadership role responsible for defining and executing an enterprise AI/ML strategy across UnitedHealth Group's Medicare & Retirement portfolio. The position owns the build-out of production-grade AI/ML platforms, MLOps practices, and GenAI/LLM adoption, while translating healthcare business challenges—benefit design, clinical operations, member engagement—into deployed AI solutions. It suits a deeply technical executive with a track record of leading large, matrixed engineering organizations and scaling AI from experimentation to enterprise production.
Principal level · 15+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 340 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 210–510
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is titled Vice President, which maps to a Principal-level people-management position with org-wide scope across a major business unit; 11-3021 (Computer and Information Systems Managers) is the clear primary SOC. The alt SOC 15-2051 (Data Scientists) reflects the deep hands-on AI/ML expertise the JD also demands.
Cloud platform requirement lists AWS, Azure, and GCP together as a single requirement with firm language ('deep expertise in'); all three are captured as required with each listed as an alternative to the others, since the JD does not require all three simultaneously.
NLU, semantic understanding, intent classification, computer vision, and ASR are listed alongside NLP and deep learning in the required qualifications; these are sub-disciplines rather than distinct named tools, so they are represented under NLP and deep learning rather than emitted as separate skills.
Quantum computing appears only under Preferred Qualifications.
The posting states a Minneapolis or Washington, D.C. hybrid office requirement for local hires, but the role is otherwise fully remote within the U.S.; remote is set to true. The CBSA reflects Minneapolis as the primary named metro; Washington, D.C. is a secondary hybrid location.
Bachelor's or Master's degree is listed as required, but the phrasing 'Bachelor's or Master's degree… or a related technical field' does not exclude equivalent experience, and no strict minimum is enforced between the two levels; the degree requirement is set to None accordingly.
Read the full posting
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