This role will lead the vision, strategy, and execution for building the Clinical Data Lake — an intelligent, multimodal data platform that unifies text, imaging, video, waveform, EHR, genomics, and operational data to accelerate AI innovation across GE HealthCare.
The Principal Product Manager will work closely with engineering, AI science, and data teams to define and deliver the platform, while collaborating with business and product leaders across GE HealthCare to align on critical deliverables that leverage it. The Clinical Data Lake will serve as the enterprise data foundation for scientists and engineers across GEHC to build, train, and deploy AI and ML models, enabling the creation of intelligent applications across Edge AI, CareIntellect, SEI, and future products.Job Description
Key Responsibilities
- Lead the product vision and roadmap for the Clinical Data Lake as the foundation for AI, ML, Deep Learning, Generative AI, and Agentic AI across device, edge, and cloud environments.
- Collaborate with engineering, AI platform, and infrastructure teams to design scalable systems for multimodal data ingestion, harmonization, and secure access for AI and ML development.
- Partner with GEHC scientists, researchers, and data science teams to ensure the platform provides standardized, high-quality data access for experimentation, model training, and evaluation.
- Work with business and product leaders across GEHC segments (Imaging, Ultrasound, Patient Care Solutions, and Digital) to align on product deliverables powered by AI and multimodal data.
- Integrate the Clinical Data Lake with AI Fabric, Imaging Fabric, and related platforms to form a unified AI ecosystem.
- Establish robust frameworks for data governance, compliance, and Responsible AI to ensure privacy, security, and ethical use of clinical data.
- Partner with commercial and marketing teams to articulate how the platform powers differentiated, AI-driven healthcare solutions.
- Define success metrics for platform adoption, data utilization, and AI enablement across GEHC.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field; MBA or advanced degree preferred.
- 7+ years of experience in product management or platform leadership, preferably within data, AI/ML, or digital health.
- Demonstrated ability to define and deliver complex AI platform products in collaboration with engineering and scientific teams.
- Strong understanding of multimodal healthcare data (imaging, text, waveform, genomics, EHR) and its application in AI/ML and agentic workflows.
- Proven success aligning multiple business and technical teams toward shared, enterprise-scale outcomes.
- Familiarity with Responsible AI, healthcare data standards (FHIR, DICOM, HL7), and privacy regulations (HIPAA, GDPR).
- Excellent communication and stakeholder management skills, with the ability to connect platform strategy to AI development outcomes.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. 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.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
Top Skills
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.








