Digital Factory Leader - Central Advanced Manufacturing Engineering

Job Description Summary The Central AME team is driving Digital Factory transformation across GE HealthCare—standard platforms, shared data, and AI-powered workflows that boost quality, cut costs, and speed up product launches. In this role, you’ll build and launch our Digital Factory playbook, helping plants move from isolated tools to connected, AI-ready operations with unified analytics, real-time visibility, and closed-loop actions. You’ll partner closely with IT Manufacturing and our sites to copy/paste proven digital, automation, and AI building blocks across high-impact factories, track progress with a steady heartbeat, and ensure every project delivers real value.

Job Description Roles & Responsibilities:

• Lead “connected plant” digital and AI maturity gap assessment and partner with IT Manufacturing team to deploy technology roadmaps for GE HealthCare plants.
• Functional ownership of enterprise Manufacturing IT tools
• Partner with IT Manufacturing team to drive Industry 4.0 solutions and provide hands-on implementation of enterprise tools that drive AI-enabled modernization.
• Build & manage the integrated Digital Factory program plan, ensure strong project execution rigor and value tracking for every digital/automation project.
• Enable MVP, design iteration, site pilot launches of standardized Unified Analytics for SQDC driving AI insights across plants.
• Drive segment roadmaps (Imaging, AVS, PCS, PDx) ensuring a consistent path to value (scrap, labor, OEE).

Required Qualifications

• 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.

Desired Qualifications

• 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.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: Yes