Sr. Technical Project Manager

GE HealthCare•Boston, MA
•$182,400 - $273,600

About The Position

GE HealthCare is hiring a Sr. Technical Project Manager to support X-ray’s strategic initiative to develop Digital SaaS solutions layered onto its global installed base of X-ray devices. The solutions are intended to transform hardware into intelligent platforms that provide greater clinical and operational value. The role coordinates cross-functional teams across North America, China, and Bangalore to deliver AI-enabled diagnostic imaging solutions. The position applies deep technology, process, and domain expertise to drive execution across interdependent projects within programs, ensuring delivery on time, within scope and budget, and at the desired quality. It also defines execution standards and processes for project managers within the program or department. The manager oversees AI/ML projects and leads Agile program execution, coordinating data science, AI engineering, software, and other stakeholders. The role drives delivery accountability, informs strategy, recommends practices to improve products and processes, and champions innovation and continuous improvement. It may lead functional teams or projects with minimal resource requirements, risk, and complexity.

Requirements

  • Master's or PhD in Computer Science or a STEM major with at least 4 years of experience developing complex high-technology products, or a bachelor's degree in Computer Science or a STEM major with at least 8 years of such experience.
  • Experience working with AI products.
  • Strong leadership and stakeholder-management skills, including the ability to influence outcomes and organize teams around shared goals.
  • Demonstrated experience leading cross-functional projects involving data scientists, software engineers, and other stakeholders; medical imaging, clinical AI, or healthcare experience is preferred.
  • Demonstrated experience developing and deploying production-grade AI/ML solutions.
  • Understanding of the machine-learning development lifecycle.
  • Strong project-management skills, including planning, execution, dependency management, and coordination of multiple technical workstreams.
  • Experience managing data collection, annotation, or data-governance activities supporting AI/ML development.
  • Demonstrated ability to translate business problems into ROI-driven AI solutions, with end-to-end ownership from problem framing and model development through operationalization, monitoring, and continuous improvement in production.
  • The ability to work legally in the United States; the employer will not sponsor employment visas for this opening.
  • Successful completion of a drug screen, as applicable, is a condition of employment.

Nice To Haves

  • Experience with generative AI technologies, including development and evaluation.
  • Experience with medical device development.
  • Experience with medical imaging AI development.
  • Background in robotics or automation technologies.
  • Background in automated vehicle or robotic guidance.
  • Project or program management certification such as PMP, PgMP, Agile, Scrum, or a related certification.
  • Experience with FDA submissions and regulatory documentation development.
  • Experience managing data science teams from data collection through commercial deployment.
  • Experience with the GE Healthcare product development process or an equivalent healthcare medical-device quality system.
  • Experience working with distributed teams.
  • Strong presentation and influencing skills.
  • Demonstrated skill in data management methods.
  • Excellent written and verbal communication, interpersonal, analytical, and problem-solving skills; customer focus; collaboration; self-direction; adaptability; and ability to coach and mentor others.

Responsibilities

  • Oversee and coordinate projects developing AI/ML capabilities with computer science, data science, AI engineering, software, and other professionals.
  • Lead Agile program execution for cross-functional AI development teams, including backlog management, sprint planning, release planning, dependency management, and delivery tracking.
  • Drive accountability for project milestones, deliverables, and technical objectives across data scientists and AI engineers.
  • Ensure interdependent projects are delivered on time, within scope and budget, and at the desired quality.
  • Define execution standards and processes for project managers within the program or department.
  • Collaborate with business and functional partners and technology leadership to define functionality and specify requirements.
  • Identify strategic partnerships, new technologies, and process enhancements that support scalable growth and continuous improvement.
  • Interpret business challenges, recommend practices to improve products, processes, or services, and use industry trends to inform work.
  • Use judgment to resolve complex operational, product management, manufacturing, technology, or engineering problems; assess information, consult stakeholders, and provide recommendations.
  • Lead cross-functional teams or projects and communicate complex concepts to influence others.
  • Manage data collection, annotation, or governance activities supporting AI/ML development.
  • Support the development and deployment of production-grade AI/ML solutions, including end-to-end operationalization, monitoring, and continuous improvement.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Paid time off
  • 401(k) plan with employee and company contribution opportunities
  • Life insurance
  • Disability insurance
  • Accident insurance
  • Tuition reimbursement
  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives
  • Professional development
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