Digital Factory Leader Central Advanced Manufacturing Engineering

GE HealthCare

Not Interested
Bookmark
Report This Job

profile Job Location:

Waukesha, WI - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

The Central AME team is driving Digital Factory transformation across GE HealthCarestandard platforms shared data and AI-powered workflows that boost quality cut costs and speed up product this role youll 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. Youll 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:

1. Bachelors in Engineering Computer Science or related field

2. 8 years leading digital transformation programs in manufacturing

3. Hands-on experience executing Industry 4.0 projects

4. Demonstrated ability to lead large-scale projects standardizing and scaling digital platforms or automation building blocks across multiple factories.

5. Strong cross-functional leadership working with Engineering Manufacturing Sites AME Quality IT and Finance in a value centered operating cadence.

6. Demonstrated strong communication skills (written and verbal) to all levels of the organization

7. Demonstrated strategic thinker; strong influencing skills; resourceful and inclusive.

8. Ability to influence senior leaders cross-functional teams and technical stakeholders.

9. Skilled in driving alignment across business units.

Desired Qualifications:

1. Hands on experience with IoT connectivity (OPC UA/MQTT) shop floor data integration edge/vision and modern cloud data stacks for manufacturing analytics.

2. Track record enabling AI in plants (computer vision ML for yield prediction scheduling optimization) and partnering with central data/AI teams.

3. FDA regulated manufacturing experience (medical/regulated quality systems).

4. Masters degree preferred.

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

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


Required Experience:

IC

Job Description SummaryThe Central AME team is driving Digital Factory transformation across GE HealthCarestandard platforms shared data and AI-powered workflows that boost quality cut costs and speed up product this role youll build and launch our Digital Factory playbook helping plants move from ...
View more view more

Key Skills

  • Engineering Support
  • Front Office Management
  • Art & Design
  • Airlines
  • Jboss
  • Clinical

About Company

Company Logo

GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients

View Profile View Profile