Sr.Program Manager

Job Description Summary The incumbent will direct a cross functional development team to deliver AI powered digital products and solutions to GE HealthCare customers. This role is responsible for ensuring programs are delivered on time, within scope and budget, and with high quality, while meeting regulatory, clinical, and customer requirements. The Program Manager will drive clarity and execution across engineering, data science, regulatory, quality, cybersecurity, supply chain, marketing, service, and sales, by defining and prioritizing AI driven program objectives, critical success factors, and deliverables. This position plays a key role in advancing AI first development practices, motivating teams, and instilling a strong sense of urgency and accountability to meet program commitments. The Advanced Visualization Solutions (AVS) business consists of four subsegments: • Comprehensive Care ULS • Women’s Health ULS • Surgical Innovation • Cardiovascular & Interventional Solutions AVS Digital serves as the enabling operating function to deliver a comprehensive suite of AI enabled digital solutions across all subsegments. As customers demand intelligent, data driven, and scalable digital solutions, the market for AI and cloud based healthcare platforms continues to expand. Our mission with AVS Digital is to develop a seamlessly connected ecosystem of AI enabled devices and so [... source excerpt omitted ...] stand alone products—connecting clinicians, increasing diagnostic confidence, improving workflow efficiency, and providing scalable, secure, and affordable cloud solutions across customer segments and demographics. We are seeking an experienced Program Manager with a strong background in AI led product development and AI Development Lifecycle (AI DLC) to lead our largest and most complex digital and AI programs. **No sponsorship or OPT EAD for this role** Job Description Roles and Responsibilities Lead day‑to‑day execution of complex AI‑driven digital programs, coordinating across global, cross‑functional teams including software engineering, ML engineering, regulatory, clin [... source excerpt omitted ...] opment, validation, deployment, post‑market monitoring, and lifecycle optimization. Lead tollgate execution for NPI, requisition, and sustaining programs, ensuring alignment with customer CTQs, regulatory expectations, and AI/ML governance requirements. Oversee delivery of AI‑enabled initiatives, including proof‑of‑concepts, algorithm development, platform releases, cloud and edge deployments, clinical/pilot trials, and install base enhancements. Champion the use of Generative AI tools across the development lifecycle (ideation, requirements generation, design, coding, testing, documentation, risk analysis, and commercialization readiness). Collaborate with business segments,