AI Program & Governance Lead

OUR MISSION

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

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.

Additionally, you will:

• 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

• Governance decisions happen quickly and with clear rationale, and teams know exactly what’s required before launching an AI feature and don’t find it burdensome

• We have clean audit trails that would satisfy external scrutiny, and effective controls that keep members safe and our brand trusted among stakeholders

• We have infrastructure that serves various teams’ unique needs to make adopting or using AI capabilities an easy choice

• You’re seen as an enabler, not a blocker

• 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…