Technology Director, Connected Health and Artificial Intelligence

Technology Director For Connected Health & Artificial Intelligence

The Technology & Innovation Center (HTIC) is GE HealthCare's global innovation engine, operating through two major hubs (Niskayuna, NY, USA & Bangalore, India) with a highly specialized, multidisciplinary team spanning imaging physics, microelectronics, AI, biosciences, magnetics, robotics, materials science, and advanced system engineering. HTIC's purpose is to drive disruptive innovation that delivers step-change performance improvements in current platforms while pioneering next-generation and cross-segment technologies that lead to new business opportunities. HTIC also proposes and wins external grant awards, typically from the US government (NIH, BARDA, ARPA-H, etc.). The organization's redefined operating model, culture, and governance are enabling greater agility, stronger clinical and segment partnerships, and the acceleration of disruptive solutions that position GE HealthCare to drive the future of healthcare.

The Technology Director for Connected Health & Artificial Intelligence serves as a senior technical and strategic leader within HTIC, responsible for shaping the future of GE HealthCare's connected health and AI technology capabilities. This role defines and executes long-term technology and solution roadmaps spanning digital health platforms, multimodal data science, device-integrated AI, and clinical workflow intelligence. As a recognized expert and thought leader, the director will guide the advancement of disruptive AI and connected-care technologies that improve patient outcomes, unlock operational efficiency, and create new sources of enterprise value. Operating across GE HealthCare segments and collaborating with Science & Technology, digital engineering, clinical, and product teams, the role drives innovation from early research through translational impact. Success is measured by the development of high-value AI capabilities, strong external partnerships and funding wins, and the creation of scalable foundation technologies that strengthen GEHC's leadership in connected, intelligent care.

Strategic Research Leadership

• Define, own, and evolve the Connected Health & AI research and technology roadmap, ensuring alignment with GEHC segment strategies and enterprise digital priorities.
• Lead large-scale, multidisciplinary research programs covering 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 relevant 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 closely with GEHC segment AI teams, Science & Technology, digital engineering, and clinical partners to translate research outcomes into scalable business value.
• Navigate complex 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 solutionsthrough segment alignment, new business creation, licensing, or partnershipsto 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.

Required Qualifications

• 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.