Principal Privacy Product Manager, Health AI

Microsoft AI is building the next generation of AI products for health, where privacy decisions carry profound implications for trust, safety, and product quality. Operating at the intersection of healthcare innovation and privacy means handling sensitive health and personal data at scale while navigating a complex, multi-jurisdictional legal and policy landscape.

As a Principle Privacy Product Manager for our Health vertical within Microsoft AI, you will be the privacy architect for our health AI products like Copilot Health and frontier AI model development. You will work across engineering, clinical, and product teams to drive privacy strategy, define product controls, and lead implementation execution specific to health contexts. You will bring deep health data acumen to inform how we design, build, and operate AI systems that handle sensitive information. You will combine strong privacy and policy expertise with engineering muscle to ensure our health AI products are both innovative and trustworthy.

We are searching for a Privacy Product Manager with deep health data and privacy expertise to lead execution of our health privacy strategy and partner with engineering to define scalable product controls across our portfolio. The right person combines user-rights judgment, health domain fluency, and technical depth to enable frontier health AI responsibly.

Responsibilities

- Be the privacy partner to health engineering, product, and clinical stakeholders, guiding privacy decisions across the end-to-end product experience, including feature design, user flows, defaults, and sensitive data use.

- Set and prioritize privacy controls for health AI scenarios, translate them into clear engineering requirements, and drive implementation and adoption across the lifecycle.

- Lead privacy design reviews for health AI features, including data handling, model behavior, and user-facing transparency and choice experiences.

- Own data governance expectations across the health product lifecycle, including collection, use, sharing, retention, and deletion.

- Monitor emerging health and data policy developments, assess product impact, and drive prioritized control or experience changes with product and engineering partners.

- Drive privacy program improvements through repeatable patterns, tooling recommendations, governance and effectiveness metrics, and engineering enablement.

Required Qualifications: