Technology Director, Connected Health and Artificial Intelligence

GE Healthcare GE Healthcare · Healthcare · Niskayuna, NY +1 · Engineering / Technology

Technology Director for Connected Health & Artificial Intelligence at GE Healthcare's global innovation engine (HTIC). Responsible for shaping future technology roadmaps in digital health, multimodal data science, device-integrated AI, and clinical workflow intelligence. Drives innovation from research to impact, focusing on high-value AI capabilities, external partnerships, and scalable foundation technologies. Requires a Ph.D. and 10+ years of experience in AI research and development, with a proven track record in healthcare and securing external funding.

What you'd actually do

  1. Define, own, and evolve the Connected Health & AI research and technology roadmap, ensuring alignment with GEHC segment strategies and enterprise digital priorities.
  2. Lead large‑scale, multidisciplinary research programs covering AI‑driven analytics, multimodal learning, device‑integrated intelligence, remote monitoring, and personalized clinical workflow optimization.
  3. Initiate and advance disruptive technology opportunities in connected health platforms, including prediction, automation, clinical decision support, and intelligent care pathways.
  4. Build measurable outcomes for the AI research portfolio, including new algorithms, platform capabilities, clinical insights, publications, IP, and external impact.
  5. Secure external funding from government agencies (e.g., NIH, BARDA, ARPA‑H) to accelerate research and build new capabilities within Connected Health & AI.

Skills

Required

  • 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.
  • Experience leading technical teams and partnering with clinical researchers, data scientists, and engineering organizations.

Nice to have

  • 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

What the JD emphasized

  • 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.

Other signals

  • AI-driven analytics
  • multimodal learning
  • device-integrated AI
  • clinical workflow intelligence
  • external funding wins