Technology Director, Connected Health and Artificial Intelligence

GE HealthCare’s Technology & Innovation Center (HTIC) is the company’s global innovation engine, with hubs in Niskayuna, NY and Bangalore, India. The multidisciplinary team spans imaging physics, microelectronics, AI, biosciences, magnetics, robotics, materials science, and advanced system engineering. HTIC drives disruptive innovation for step-change performance improvements in current platforms and pioneers next-generation, cross-segment technologies that create new business opportunities. The center also secures external grant awards from agencies such as NIH, BARDA, and ARPA-H.

About the Role

The Technology Director for Connected Health & Artificial Intelligence is a senior technical and strategic leader within HTIC. This role shapes the future of GE HealthCare’s connected health and AI technology capabilities by defining and executing long-term roadmaps across digital health platforms, multimodal data science, device-integrated AI, and clinical workflow intelligence. The director guides the advancement of disruptive AI and connected-care technologies to improve patient outcomes, enhance operational efficiency, and create new enterprise value. The role operates across GE HealthCare segments, collaborating with Science & Technology, digital engineering, clinical, and product teams to drive innovation from early research through translational impact.

Responsibilities

• Strategic Research Leadership:
  • Define, own, and evolve the Connected Health & AI research and technology roadmap, aligning with GEHC segment strategies and enterprise digital priorities.
  • Lead large-scale, multidisciplinary research programs in AI-driven analytics, multimodal learning, device-integrated intelligence, remote monitoring, and personalized clinical workflow optimization.
  • Initiate and advance disruptive technology opportunities in connected health platforms, including prediction, automation, clinical decision support, and intelligent care pathways.
  • Maintain deep technical expertise in AI/ML, health data platforms, and edge-to-cloud architectures to provide scientific leadership and guide future directions.
  • Build measurable outcomes for the AI research portfolio, including new algorithms, platform capabilities, clinical insights, publications, IP, and external impact.
• Business Alignment:
  • Partner with GEHC segment AI teams, Science & Technology, digital engineering, and clinical partners to translate research outcomes into scalable business value.
  • Navigate organizational interfaces to integrate research outputs into product roadmaps, influence portfolio strategy, and ensure alignment across GEHC technology leaders.
  • Develop value-creation pathways for new solutions through segment alignment, new business creation, licensing, or partnerships to advance commercialization of breakthrough AI technologies.
• External Partnerships & Ecosystem Impact:
  • Secure external funding from government agencies (e.g., NIH, BARDA, ARPA-H, DoD) to accelerate research and build new capabilities within Connected Health & AI.
  • Build and maintain strategic relationships with academic collaborators, digital health ecosystems, clinical institutions, and external AI partners to extend GEHC’s technology footprint.
  • Represent GEHC in the global innovation ecosystem through thought leadership, conference participation, publications, and technology advocacy.
• Operational & Organizational Leadership:
  • Lead and develop a high-performing team of AI engineers, computer scientists, and connected-health researchers across multiple geographies.
  • Foster a culture of scientific rigor, innovation, and transparent execution aligned with HTIC’s operating model and GEHC leadership behaviors.
  • Drive operational excellence, including resource planning, program governance, portfolio metrics, technical reviews, and Heartbeat implementation.
  • Ensure adherence to GEHC quality, regulatory, and EHS standards.

Requirements

• Ph.D. in Artificial Intelligence, Computer Science, Software Engineering, Mathematics, Biomedical Informatics, or a related technical field.
• 10+ years of experience leading advanced AI research and technology development in healthcare, digital health, medical devices, or enterprise AI ecosystems.
• Proven track record of translating AI research into high-impact technologies and solutions, ideally within regulated or clinically integrated environments.
• Demonstrated success securing external funding (e.g., NIH, DARPA, ARPA-H) and managing multidisciplinary, multi-stakeholder programs.
• Strong portfolio of peer-reviewed publications, patents, and externally recognized thought leadership in AI or connected health technologies.
• Experience leading technical teams and partnering with clinical researchers, data scientists, and engineering organizations.

Desired Characteristics

• Strategic thinker with demonstrated ability to identify disruptive AI opportunities and influence organizational direction.
• Deep understanding of clinical workflows, healthcare delivery systems, and integration of AI into real-world medical environments.
• Exceptional communication and collaboration skills, capable of influencing across functions, geographies, and seniority levels.
• Ability to manage risk and uncertainty in emerging technology domains, with a solution-oriented and boundary-less mindset.
• Strong external network spanning academia, digital health, AI research communities, and government funding agencies.
• Commitment to fostering inclusive team culture, talent development, and continuous learning.

Pay

For U.S.-based positions, the pay range is $192,000.00–$288,000.00 annually. Compensation decisions depend on skills, qualifications, experience, and location. This role may also be eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives (LTI).

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• 401(k) plan with employee and company contribution opportunities.
• Life, disability, and accident insurance.
• Tuition reimbursement.

Relocation assistance provided.