Senior Manager, Product Management

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Position Summary We are looking for a Senior Manager, Product Management to join our team within our Clinicals division. In this role you will be responsible for one or more product areas within the overarching product’s portfolio; understanding the market and customers, contributing to the product vision, developing business cases and ensuring a set of product features meet business requirements. You will help define how AI is responsibly integrated into clinical workflows, ensuring solutions are safe, trustworthy, and deliver measurable value to healthcare providers and patients. You will work closely with scrum teams defining and writing user stories, prioritizing product backlogs, and making trade-off decisions between scope and schedule. Your work will span both strengthening our current solutions and delivering innovative, AI-driven features that improve user experience and clinical decision-making. Success in this role will be measured by improvements in provider efficiency, mobile adoption, workflow completion, user satisfaction, product quality, and safe adoption of AI-enabled capabilities. About the Team: The Mobile team brings together Product Management, Engineering, User Experience, Product Analytics, Data Science, and Patient Safety partners to improve the efficiency and experience of healthcare providers. The team works across product strategy, execution, and measurement to deliver both core product capabilities and AI-enabled solutions where they add value. The team collaborates closely to ensure products are usable, reliable, and aligned with clinical and business needs. This role will support that mission by helping shape product decisions and delivery for an assigned area. Essential Job Responsibilities Drive product vision incorporating AI/ML capabilities, predictive insights, and automation opportunities Lead early-stage discovery for features including: Identifying high-value use cases for AI, Validating concepts with users and stakeholders, and Defining data requirements and feasibility Partner with UX, Analytics and Data Science teams to define measurement strategies for AI feature performance (e.g., validity, bias, data quality, adoption, impact) Translate product strategy into outcome-based roadmaps that connect customer problems, business goals, delivery priorities, and measurable success criteria. Define product success metrics for each major initiative, including adoption, engagement, workflow efficiency, customer satisfaction, safety, and business impact. Own go-to-market strategies for products, including its AI-enabled features Monitor post-release performance and use product analytics, customer feedback, and operational data to guide iteration and prioritization. Work directly with scrum teams to prioritize work and ensure delivery of both core and AI-enabled product capabilities