Senior Program Manager

GE HealthCare

. 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.

Posted 4/29/2026full-timeChicago • Illinois, Massachusetts • 🇺🇸 United StatesSenior💰 $136,000 - $204,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber 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.

Benefits

Comp & perks

medical
dental
vision
paid time off
a 401(k) plan with employee and company contribution opportunities
life
disability
and accident insurance
tuition reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Development Lifecycle (AI-DLC)algorithm developmentdata strategymodel developmentvalidationdeploymentcloud computingedge computingMLOpsdata pipelines

Soft Skills

leadershipcommunicationproblem-solvingdecision-makingcollaborationinfluenceorganizational skillsrisk managementanalytical skillscustomer focus