Senior AI Product Manager at GE Healthcare

Pewaukee, Wisconsin, United States

GE Healthcare Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical DevicesIndustries

Requirements

  • Master’s degree in engineering, AI, Data Science, or Business/Healthcare Technology management
  • 10+ years of hands-on software engineering / product development / product management experience
  • Hands-on experience with AI tools and platforms
  • Strong communication and collaboration skills, with the ability to work across technical and non-technical teams
  • Familiarity with Healthcare workflows and deployment scenarios
  • Strong written and verbal communication skills
  • Ability to excel in a fast-paced, startup-like environment

Responsibilities

  • Execute AI product initiatives in alignment with the strategic roadmap defined by the Senior Director of AI Product Management, focusing on delivering value in GE HealthCare Global Service environments
  • Work closely with the AI Program Manager and Science & Technology Organization AI development team to bring new AI solutions to life
  • Collaborate with engineering, data science, UX, IT, and service teams to define technical product requirements, user stories, data requirements, systems integration planning and acceptance criteria for AI-powered features
  • Manage the product lifecycle for AI capabilities—from ideation and prototyping to validation, deployment, and continuous iteration
  • Translate service delivery and operational challenges into AI use cases that improve efficiency, reduce manual effort, and enhance decision support
  • Support regulatory and compliance efforts by ensuring AI features adhere to healthcare standards (e.g., HIPAA, FDA, GDPR) and responsible AI principles
  • Monitor AI model performance in production environments and coordinate with technical teams to improve accuracy, fairness, robustness, and explainability
  • Gather and analyze user and stakeholder feedback to inform product enhancements, refine use cases, and prioritize backlog items based on impact and feasibility
  • Contribute to go-to-market readiness by supporting internal documentation, training, and enablement activities that help commercial and service teams understand and deliver AI capabilities
  • Assist in evaluating business impact of AI features by supporting business case development, tracking adoption metrics, user engagement, and service outcomes to inform future investment decisions

Skills

AI Product Management
Machine Learning
Data Science
Cloud Technologies
Product Roadmaps
User Stories
Systems Integration
UX Design
Technical Requirements

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters
1892Year Founded
N/ACompany Stage
Data & Analytics, HealthcareIndustries
10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.
Regulatory challenges may delay AI application expansions in healthcare.
Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.
The company supports over 300,000 patients daily with its healthcare technologies.
GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.
Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.
Collaboration with Wayra accelerates digital health innovation in EMEA.

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