Senior AI-Driven Medical Imaging Program Lead

I00920 GE Medical Systems SCS

United States

À distance

USD 182 000 - 274 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Medical insurance
Dental insurance
Vision insurance
401(k) plan with company match
Paid time off
Life, disability, and accident保险

Résumé du poste

GE HealthCare in the United States seeks a senior program manager to drive the integration of electronic engineering with computer science to deliver scalable AI-powered imaging and diagnostic solutions.

You will lead cross-functional teams across engineering, data science, and clinical partners to ensure timely, on-budget execution that advances digital SaaS capabilities in mammography and x-ray platforms.

Qualifications

  • Masters or PhD in Computer Science or STEM with at least 4 years experience (or Bachelors in Computer Science or STEM with 8 years of experience) developing complex high technology products.
  • Experience working with AI products
  • Strong leadership skills with ability to influence outcomes and organize teams to attain shared goals

Responsabilités

  • Lead cross-functional teams across engineering, data science, product management and business partners to deliver AI-enabled imaging solutions.
  • Define execution standards and processes for the program and align global teams (NA, China, Bangalore) to meet scope, time and budget.
  • Translate business problems into ROI-driven AI solutions and oversee end-to-end delivery from framing to operationalization.

Connaissances

AI/ML products
Leadership
Cross-functional collaboration
Program management
Strategic thinking
Global coordination

Formation

Masters or PhD in Computer Science or STEM with 4+ years or Bachelors with 8+ years

Description du poste

GE HealthCare in the United States seeks a senior program manager to drive the integration of electronic engineering with computer science to deliver scalable AI-powered imaging and diagnostic solutions.

You will lead cross-functional teams across engineering, data science, and clinical partners to ensure timely, on-budget execution that advances digital SaaS capabilities in mammography and x-ray platforms.

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