Responsibilities
• Partner with Product Managers across various product lines to collect, analyze, and consolidate clinical AI needs into unified feature level requirements.
• Ensure consistent prioritization of AI requirements based on clinical impact, productstrategy, and technical feasibility.
• Maintain an ongoing feedback loop with Product Managers to refine requirements, capture gaps, and adapt prioritization as products evolve.
• Translate cross product needs into clear, structured definitions, user flows, CTQs, and feature specifications for the AI R&D team.
• Ensure alignment and consistency of requirements across teams to support development of an AI agnostic clinical capability.
• Collaborate with AI, Data, Clinical and UX functions to ensure requirements are fully understood, feasible, and traceable.
• Identify requirement-level risks, inconsistencies, or conflicts and drive resolution with relevant stakeholders.
• Maintain clear documentation of requirements, rationales, and prioritization decisions to support transparency and regulatory processes.
Requirements
• Bachelor’s degree in biomedical engineering, computer science, electrical engineering, or related field; advanced degree is an advantage.
• Experience in Product Management, system definition, or AI/ML related productdevelopment.
• Strong understanding of AI workflows, data needs, and clinical use cases.
• Excellent skills in gathering, structuring, and communicating requirements across multidisciplinary teams.
• Ability to balance multiple stakeholders, manage conflicting inputs, and drive alignment.
• Experience with clinical or healthcare technology—medical imaging experience is a strong advantage.
• Analytical mindset and the ability to connect product needs with technical constraints.
Advantage: Hands-on experience with AI research and development.
Advantage: Familiarity with regulatory expectations for medical device software and AIsystems.
Desired Qualities
• Highly organized, detail oriented, and proactive.
• Strong communication and collaboration skills.
• Comfortable navigating ambiguity and working with evolving inputs.
• System level thinker who can identify patterns, unify needs, and propose scalable solutions.
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 our behaviors: act with humility and build trust; lead with transparency; deliver with focus; and drive ownership—always with unyielding integrity.
#LI-TM1
Additional Information
The job is open to men and women equally
Relocation Assistance Provided: No
Additional InformationThe job is open to men and women equally
Relocation Assistance Provided: No
Skills Required
- Bachelor’s degree in biomedical engineering, computer science, electrical engineering, or a related field
- Experience in product management, system definition, or AI/ML-related product development
- Strong understanding of AI workflows, data needs, and clinical use cases
- Experience gathering, structuring, and communicating requirements across multidisciplinary teams
- Ability to balance multiple stakeholders, manage conflicting inputs, and drive alignment
- Experience with clinical or healthcare technology
- Analytical ability to connect product needs with technical constraints
- Advanced degree
- Medical imaging experience
- Hands-on experience with AI research and development
- Familiarity with regulatory expectations for medical device software and AI systems
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
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Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
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Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
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