Technical Program Manager - Health AI Research

Microsoft Microsoft · Big Tech · London, United Kingdom +1 · Technical Program Management

Technical Program Manager for Health AI Research at Microsoft, focusing on translating research into products for user health and wellbeing. The role involves leading research programs end-to-end, driving cross-functional execution, and ensuring model safety, quality, and privacy in a regulated environment.

What you'd actually do

  1. Partner with research and applied AI science to shape goals, priorities, and success metrics, and own end-to-end execution of complex health AI research programs - managing planning, milestones, dependencies, and risks across the model development lifecycle.
  2. Drive cross-functional execution across research, engineering, clinical, product, and compliance, acting as the connective tissue between teams - translating requirements, managing trade-offs, and keeping critical paths unblocked.
  3. Steer model development and launch readiness against clear safety, quality, privacy, and clinical criteria, and own the operational health of training and evaluation runs, including compute and resource planning.
  4. Bring structure and enablement to fast-moving research - establishing lightweight operating mechanisms and maintaining the artefacts that keep teams aligned.
  5. Communicate progress, risks, and plans, distilling complex technical information into clear insights for leadership, and advocate for the resourcing and focus the team needs to deliver.

Skills

Required

  • Several years of experience in technical program management, with a track record of delivering complex, cross-functional programs.
  • Experience delivering AI/ML programs spanning research (pretraining, post-training, and/or evaluation), partnering directly with researchers and applied scientists.
  • Technical fluency to reason about model training, evaluation methodology, data, and infrastructure trade-offs, engage credibly with researchers and engineers, and stay current on emerging AI approaches.
  • Ability to bring clarity to complex, ambiguous, and changing research challenges, and comfort doing so at pace.
  • Strength in translating requirements across research, product, engineering, clinical, and partners such as Compliance, Legal, and Responsible AI, sustaining strong relationships under pressure.
  • Strong written and verbal communication, with the ability to influence without authority and align stakeholders with different priorities.
  • A collaborative way of working that fosters accountability, rigour, and continuous improvement.

Nice to have

  • Experience in health AI, healthcare technology, or other regulated software environments.
  • Advanced degree in a technical field (CS/ML) or Life Sciences/ Medicine.

What the JD emphasized

  • health AI research programs end-to-end
  • model development lifecycle
  • training and evaluation runs
  • health AI
  • healthcare technology
  • regulated software environments

Other signals

  • Translate cutting-edge research into transformative products
  • Lead health AI research programs end-to-end
  • Drive cross-functional execution across research, engineering, clinical, product, and compliance