Roles and Responsibilities

• Define and own the product strategy for core data fabric capabilities, working backwards from customer and business use-cases to identify high-leverage platform investments.

• Establish a clear, multi-year product roadmap aligned to enterprise priorities, partner needs, and portfolio growth, and drive alignment across engineering, architecture, and business stakeholders.

• Lead the evolution of data connectivity, enrichment, and access capabilities as scalable platform products—balancing flexibility, reuse, and enterprise consistency.

• Partner closely with engineering to translate strategy into execution, ensuring roadmap delivery, measurable outcomes, and continuous iteration.

• Act as a strategic integrator across customers, internal product teams, architects, and external partners to prioritize work and ensure platform capabilities unlock downstream value.

• Track market and technology trends in data platforms, cloud services, and AI-enabled products, applying insights to guide platform differentiation and long-term strategy.

• Help evolve how data-driven products are built, deployed, and commercialized, enabling faster time-to-market and broader reuse across GE HealthCare.

• Navigate both business and technical conversations, from commercial models and adoption strategies to deployment patterns and operating models.

• Thrive in ambiguity—setting direction where it does not yet exist, making informed tradeoffs, and iterating rapidly based on learning.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field.

• 10+ years of industry experience, including 5+ years in product management, platform strategy, or data-centric product roles.

• Proven experience defining and delivering platform or data products used by multiple downstream teams or customers.

• Demonstrated ability to lead cross-functional teams and influence without authority across engineering, architecture, and business stakeholders.

Desired Characteristics

• Master’s degree in Engineering, Computer Science, or related discipline.

• Familiarity with healthcare data concepts and interoperability standards (e.g., HL7, FHIR, DICOM), with an emphasis on applying them strategically rather than implementing them directly.

• Background in distributed systems, data platforms, or cloud-scale products.

• Experience working closely with engineering teams on complex, multi-tenant platforms.

• Strong strategic communication skills—able to articulate vision, tradeoffs, and outcomes to technical and executive audiences.

• Comfortable operating in a fast-paced, platform-first environment where priorities evolve and impact is measured through adoption and leverage.