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Senior Program Manager – AI Digital Solutions
GE HealthCareProgram Manager leading complex AI programs at GE HealthCare. Delivering digital solutions in healthcare through collaboration and cross-functional team leadership.
Posted 6/26/2026full-timeWaukesha • Illinois, Maine • 🇺🇸 United StatesSenior💰 $136,000 - $204,000 per yearWebsite
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud Platform
About the role
Key responsibilities & impact- 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.
- Drive AI Development Lifecycle (AI‑DLC) execution from concept ideation, data strategy, model development, validation, deployment, post‑market monitoring, and lifecycle optimization.
- Lead tollgate execution for NPI, requisition, and sustaining programs, ensuring alignment with customer CTQs, regulatory expectations, and AI/ML governance requirements.
- 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.
- Champion the use of Generative AI tools across the development lifecycle (ideation, requirements generation, design, coding, testing, documentation, risk analysis, and commercialization readiness).
- Collaborate with business segments, enterprise partners, regulatory and quality teams, and third‑party vendors to deliver safe, effective, explainable, and compliant AI solutions.
- Define, apply, and continuously improve AI‑inclusive execution methodologies, agile/DevOps practices, and program management standards used across digital programs.
- Identify and proactively manage AI‑specific risks, including data quality, model bias, transparency, cybersecurity, clinical validation, scalability, and regulatory readiness.
- Communicate program progress, AI maturity, risks, and critical decisions with clarity and consistency to senior leadership and key stakeholders.
- Apply strong technical and product judgment to resolve moderately complex AI, software, platform, and operational challenges.
- Use data‑driven insights, analytics, and cross‑functional inputs to drive decision‑making and recommend scalable, customer‑focused AI solutions.
Requirements
What you’ll need- Bachelor’s degree in computer science, Engineering, Data Science, or a related field; Master’s degree preferred.
- 8+ years of experience in software and digital product development, including 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.
Benefits
Comp & perks- health insurance
- dental
- vision
- paid time off
- a 401(k) plan with employee and company contribution opportunities
- life insurance
- disability and accident insurance
- tuition reimbursement
ATS Keywords
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Hard Skills & Tools
AI Development Lifecycle (AI-DLC)cloud computingMLOpsdata pipelinesalgorithm developmentGenerative AIprogram managementsoftware developmentdigital product developmentregulatory compliance
Soft Skills
leadershipcommunicationproblem-solvingdecision-makingcollaborationorganizational skillsinfluencerisk managementanalytical skillsadaptability