Sr. Staff Technical Program Manager

GE HealthCare•Bellevue, NE

About The Position

We are seeking an experienced Senior Program Manager – AI/ML Digital Cloud Solutions to lead the end-to-end delivery of scalable, cloud-based AI/ML solutions that drive clinical and operational impact. This role will manage complex programs across data engineering, analytics, and AI/ML solution development within regulated environments such as medical devices or life sciences , patient care pathways. The ideal candidate combines strong program management expertise with deep understanding of cloud platforms, AI/ML lifecycle, and healthcare workflows.

Requirements

Bachelor’s or Master’s degree in a STEM field (Computer Science, Engineering, Data Science, or related)
8+ years of experience in program/project management , with a focus on digital, cloud, or AI/ML initiatives
Proven experience delivering AI/ML or data-driven solutions in cloud environments (AWS, Azure, or GCP)
Strong understanding of AI/ML development lifecycle and MLOps practices
Experience in medical device, healthcare, or life sciences regulated environments
Experience managing complex, cross-functional programs at scale
Familiarity with clinical workflows and care pathways
Strong communication, stakeholder management, and leadership skills

Nice To Haves

Solid background in data engineering, analytics, and informatics
Strong understanding and knowledge of various project and portfolio management methodologies with track record of implementing shared standards for large organizations
Strong leadership skills with ability to influence outcomes and organize teams to attain shared goals
Excellent influencing, interpersonal and communications skills (both written and verbal) with all levels of an organization
Self-starter - requires minimal direction to accomplish goals
Strong track record of understanding and interest in current and emerging technologies demonstrated through training, job experience and / or industry activities
Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources
Experience working with others on a global basis
Applies knowledge to coach and mentor others
Demonstrated customer focus – evaluates decisions through the eyes of the customer, builds strong customer relationships, creates processes with customer viewpoint and partners with customers to help shape their future initiatives
Strong analytical and strong problem solving skills -communicates in a clear and succinct manner and effectively evaluates information / data to make decisions, anticipates obstacles and develops plans to resolve, creates actionable strategies and operational plans
Change oriented – actively generates process improvements, champions and drives change initiatives, confronts difficult circumstances in creative ways, balances multiple and competing priorities and executes accordingly
PMP (Project Management Professional) certification
Scrum / Agile certifications (e.g., Certified Scrum Master, SAFe)
Cloud certifications (e.g., AWS Certified Solutions Architect, Azure AI Engineer, Google Professional ML Engineer )
Experience with digital health, clinical decision support, or operational optimization solutions
Exposure to AI governance, model validation, and regulatory compliance for AI/ML
Key Competencies
Strategic thinking and execution
Program leadership and delivery excellence
Technical fluency in AI/ML and cloud ecosystems
Data-driven decision making
Stakeholder influence and communication
Risk management in regulated environments
Embodiment of GE HealthCare Heartbeat behaviors in day-to-day leadership
Inclusion and Diversity

Responsibilities

Lead end-to-end program management of AI/ML digital solutions, from ideation through deployment and post-launch optimization
Drive cross-functional alignment across engineering, data science, product, clinical, regulatory, and business teams
Manage AI/ML solution lifecycle , including data ingestion, model development, validation, deployment, and monitoring
Oversee cloud-based solution delivery on AWS, Azure, or GCP, ensuring scalability, security, and compliance
Ensure adherence to regulated industry standards (e.g., FDA, HIPAA, GxP) for medical devices or life sciences
Define and track program milestones, KPIs, risks, and dependencies
Lead data engineering, analytics, and informatics initiatives to enable high-quality AI/ML outcomes
Translate clinical workflows and care pathways into digital and AI-driven solutions
Drive stakeholder communication , executive reporting, and governance processes
Implement Agile/Scrum or hybrid methodologies for efficient delivery
Identify opportunities to enhance clinical outcomes and operational efficiency using AI/ML