Digital Factory Leader - Central Advanced Manufacturing Engineering

GE Healthcare GE Healthcare · Healthcare · Waukesha, WI +1 · Engineering / Technology

This role leads the Digital Factory transformation at GE HealthCare, focusing on standardizing platforms, data, and AI-powered workflows to improve quality, reduce costs, and accelerate product launches. The leader will build a Digital Factory playbook, guide plants from isolated tools to connected, AI-ready operations with unified analytics and real-time visibility, and partner with IT and sites to deploy digital, automation, and AI building blocks across factories, tracking project value delivery.

What you'd actually do

  1. Lead “connected plant” digital and AI maturity gap assessment and partner with IT Manufacturing team to deploy technology roadmaps for GE HealthCare plants.
  2. Functional ownership of enterprise Manufacturing IT tools
  3. Partner with IT Manufacturing team to drive Industry 4.0 solutions and provide hands-on implementation of enterprise tools that drive AI-enabled modernization.
  4. Build & manage the integrated Digital Factory program plan, ensure strong project execution rigor and value tracking for every digital/automation project.
  5. Enable MVP, design iteration, site pilot launches of standardized Unified Analytics for SQDC driving AI insights across plants.

Skills

Required

  • Bachelor’s in Engineering, Computer Science, or related field
  • 8+ years leading digital transformation programs in manufacturing
  • Hands-on experience executing Industry 4.0 projects
  • Demonstrated ability to lead large-scale projects standardizing and scaling digital platforms or automation building blocks across multiple factories.
  • Strong cross-functional leadership working with Engineering, Manufacturing Sites, AME, Quality, IT, and Finance in a value centered operating cadence.
  • Demonstrated strong communication skills (written and verbal) to all levels of the organization
  • Demonstrated strategic thinker; strong influencing skills; resourceful and inclusive.
  • Ability to influence senior leaders, cross-functional teams, and technical stakeholders.
  • Skilled in driving alignment across business units.

Nice to have

  • Hands on experience with IoT connectivity (OPC UA/MQTT), shop floor data integration, edge/vision, and modern cloud data stacks for manufacturing analytics.
  • Track record enabling AI in plants (computer vision, ML for yield prediction, scheduling optimization) and partnering with central data/AI teams.
  • FDA regulated manufacturing experience (medical/regulated quality systems).
  • Master’s degree preferred.

What the JD emphasized

  • AI-powered workflows
  • AI-ready operations
  • AI insights
  • enabling AI in plants

Other signals

  • AI-powered workflows
  • AI-ready operations
  • AI insights
  • enabling AI in plants