Sr. Program Manager - AI Digital Solutions

GE Healthcare GE Healthcare · Healthcare · Waukesha, WI +5 · Engineering / Technology

The Sr. Program Manager will lead cross-functional teams to deliver AI-powered digital products and solutions in healthcare, ensuring programs are delivered on time, within scope, and budget, while meeting regulatory, clinical, and customer requirements. This role drives the AI Development Lifecycle from concept to post-market monitoring, champions Generative AI tools, and manages AI-specific risks in a regulated environment.

What you'd actually do

  1. Lead day‑to‑day execution of complex AI‑driven digital programs, coordinating across global, cross‑functional teams including software engineering, ML engineering, regulatory, clinical, and cybersecurity.
  2. Drive AI Development Lifecycle (AI‑DLC) execution from concept ideation, data strategy, model development, validation, deployment, post‑market monitoring, and lifecycle optimization.
  3. Lead tollgate execution for NPI, requisition, and sustaining programs, ensuring alignment with customer CTQs, regulatory expectations, and AI/ML governance requirements.
  4. Oversee delivery of AI‑enabled initiatives, including proof‑of‑concepts, algorithm development, platform releases, cloud and edge deployments, clinical/pilot trials, and install base enhancements.
  5. Champion the use of Generative AI tools across the development lifecycle (ideation, requirements generation, design, coding, testing, documentation, risk analysis, and commercialization readiness).

Skills

Required

  • Bachelor's degree in computer science, Engineering, Data Science, or a related field
  • 8+ years of experience in software and digital product development
  • program management for AI‑enabled or data‑driven solutions
  • Proven track record delivering cloud‑first and AI‑powered products from concept through commercialization in fast‑paced, regulated environments
  • Familiarity with cloud platforms (AWS, Azure, GCP), MLOps, data pipelines, mobile applications, edge computing, and medical device connectivity
  • Hands‑on experience managing programs aligned to an AI Development Lifecycle (AI‑DLC)
  • Familiarity with subscription and recurring revenue business models, digital platforms, and AI‑enabled SaaS offerings
  • Demonstrated leadership and influence across global, diverse teams including engineering, data science, clinical, and regulatory stakeholders
  • Ability to manage multiple priorities, complex dependencies, and competing stakeholder needs
  • Proficiency with program and agile management tools such as Jira, Azure DevOps, Microsoft Project, Smartsheet, and AI lifecycle tooling
  • Strong analytical, problem‑solving, and decision‑making skills, with comfort leveraging data and AI insights
  • Solid understanding of PRD lifecycle, QMS, software lifecycle processes, and regulatory expectations for AI/ML
  • Experience delivering AI-enabled products in regulated environments (e.g., healthcare, medical devices) is strongly preferred, including commercialization readiness
  • Understanding of global medical device software and AI regulatory considerations, including FDA, EU MDR, and emerging AI regulations

Nice to have

  • Master’s degree
  • Experience leading AI/ML product development in regulated industries such as healthcare or medical devices
  • PMP, Agile/Scrum, SAFe

What the JD emphasized

  • program management for AI‑enabled or data‑driven solutions
  • concept through commercialization
  • AI Development Lifecycle (AI-DLC)
  • AI-enabled products in regulated environments

Other signals

  • AI-powered digital products
  • AI Development Lifecycle (AI DLC)
  • Generative AI tools
  • AI-enabled SaaS offerings
  • AI-enabled products in regulated environments