About The Position

We're hiring an AI Program & Governance Lead to make sure our AI Program at Thyme Care stays safe and trusted while drastically expanding the scope of use cases and value delivered to our members, stakeholders and the organization. You'll own the program and the operating system that ensures we manage AI risk by ensuring teams have the appropriate tooling, infrastructure, guidance, training, enablement and controls without slowing builders down. This isn't a compliance checkbox role. You need real technical depth (software engineering or security engineering background), and you’ll need to stay at the frontier of what's possible with AI and translate that into practical controls and enablement by making real infrastructure available that improves the product, engineering and cross-functional dev environments and corporate environments to take advantage of AI capabilities and ship value in production products and workflows. You'll work daily with Product, Eng, Data, Clinical, Ops, Security, and Legal, and you’ll be a key stakeholder on our AI Governance Committee.

Requirements

  • You’re deeply engaged with the AI ecosystem, and stay current on recent AI tooling/innovation
  • Technical foundation: ideally, a software engineering or security engineering background
  • Program management experience in regulated, high-trust environments (security, privacy, compliance)
  • Excellent cross-functional facilitation; can drive decisions across stakeholders with different priorities
  • Operational rigor: documentation, artifacts, audit trails, escalation pathways, process improvement are second nature
  • Can translate AI controls into practical team workflows

Nice To Haves

  • HIPAA or healthcare security/privacy experience
  • Experience implementing governance for AI or ML/LLM systems (evals, monitoring, release gates)
  • Vendor risk and procurement coordination experience
  • Comfort owning enablement/training programs for non-technical audiences

Responsibilities

  • Own AI governance intake: ensure pilots, purchases, and launches go through proper security and risk reviews before they happen
  • Facilitate governance committee reviews and drive decisions to resolution
  • Build and maintain the operational infrastructure of our AI program: documentation, audit trails, escalation pathways
  • Operationalize evals, labeling and monitoring in ways that serve PMs, engineers, clinicians and other cross-functional stakeholders
  • Own training and enablement: help non-technical teams understand AI capabilities, governance and potential opportunities for value
  • Coordinate with Security/Privacy on vendor risk, BAAs, and compliance requirements
  • Translate AI controls into practical, operationalized team workflows that don't create unnecessary friction
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