Senior AI Product Manager

Job Description Summary

As a Senior AI Product Manager within GE HealthCare's Global Services organization, you will play a critical role in executing AI initiatives that enhance our service offerings and healthcare delivery. Reporting to the Senior Director of AI Product Management, you will be responsible for translating strategic AI visions into actionable product plans, collaborating with cross-functional teams to deliver AI-powered solutions that improve service workflows, operational efficiency, and ultimately impacting customer service and experience.

You will work at the intersection of healthcare, service delivery, data science, and cloud technologies—driving the development and deployment of AI features across a variety of platforms. This hands-on role requires strong technical expertise, deep customer empathy, and a passion for transforming healthcare through innovation.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and 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.

Required Qualifications

Desired Characteristics

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors : to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

Additional Information

Relocation Assistance Provided : No

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Skills Required

Data Science, Product Management, Product Development, Software Engineering, Cloud Technologies