Product Manager, Health AI

About the role At Boston Scientific, you will drive strategy execution and delivery for a portfolio of Health AI initiatives, translating clinical and business needs into well-governed programs. The role requires collaboration with AI Engineering, Platform teams, Enterprise Architecture, Data and AI Governance stakeholders, and Business Units to ensure solutions are feasible, integrated with enterprise standards, validated for clinical and technical performance, and ready for scaled adoption. Hybrid work model: employees are required to be in our local office at least three days per week. This position is not subject to visa sponsorship. Your responsibilities Deliver cross-divisional Health AI initiatives with clinical, R&D, and operational stakeholders by translating needs into well-defined programs, platform‑enabled capabilities, and release plans with clear milestones, dependencies, and success criteria. Facilitate end‑to‑end roadmaps and execution by establishing phase gates from discovery through pilot, validation, launch, and scale, ensuring readiness across clinical, technical, financial, and operational dimensions. Establish and manage enterprise Health AI preferred partnerships and vendor ecosystems that divisions can leverage to accelerate solution development and deployment, driving cost sharing, standardized onboarding, enterprise agreements, and reusable integrations. Partner with divisional product teams to define and mature strategic programs, including imaging algorithm development, data interoperability, and hospital solution implementation, ensuring each initiative has clear roadmaps, financial plans, governance, and resourced execution teams. Support divisions in defining integration and implementation strategies for third‑party data sources, such as EMR and EHR systems, aligning to enterprise standards for data governance, privacy, cybersecurity, and interoperability, including HL7 and FHIR where applicable. Enable divisions to build AI and machine learning‑enabled diagnostics and longitudinal care solutions by coordinating cross‑functional requirements, risk assessments, and controls to support safe AI‑enabled workflows across care settings. Partner with divisions to accelerate physician workflow efficiency and improve clinical decision support by supporting adoption planning, training approaches, and change management with clinical and hospital stakeholders. Coordinate with AI Engineering, clinical experts, and divisional teams to set imaging AI initiatives up for success, including validation plans, dataset strategy, performance metrics, bias and risk considerations, and post‑deployment monitoring expectations. Support hospital‑ready scalability by aligning deployment models, cybersecurity requirements, support models, and operational SLAs, while promoting reusable, enterprise‑grade capabilities that reduce duplication and accelerate time to value. Lead partnership selection and validation for Health AI vendors, including strategic fit, technical and Responsible AI due diligence, and clinical value assessment. Coordinate vendor onboarding to meet enterprise needs across divisions, establishing long‑term collaboration models, integration standards, and governance expectations. Manage vendor deliverables, contractual milestones, and performance in partnership with divisions, Procurement, Legal, Privacy, and Security teams. Champion agile and compliant Health AI delivery practices in collaboration with divisions and data and AI delivery teams, leveraging AI‑enabled tools for backlog management, sprint planning, and progress reporting. Collaborate with Responsible AI, Regulatory, and Quality teams to standardize documentation, decision gates, and risk management artifacts, including alignment with software lifecycle controls and SaMD expectations where applicable. Collaborate with divisions and delivery teams to define and report KPIs for adoption, outcomes, operational impact, and financial value realization, supporting corrective actions when needed. Provide regular updates to leadership and governance councils, clearly communicating progress, risks, decisions required, and recommended trade‑offs. Qualifications Required qualifications Bachelor’s degree in business, engineering, computer science, biomedical engineering, or a related field. Minimum of 7 years’ experience in program management, product management, or digital delivery within a large, matrixed organization. Demonstrated experience delivering AI and machine learning‑enabled products or platforms, including vendor‑led solutions, from discovery through launch and scale. Hands‑on experience leading cross‑functional delivery across Clinical, IT or Enterprise Architecture, Security and Privacy, Regulatory and Quality, and external partners. Working knowledge of digital and AI solutions, including clinical decision support, healthcare data interoperability, imaging AI, and diagnostic and predictive algorithms. Strong vendor management and partnership evaluation skills, including technical due diligence, value hypothesis definition, and validation planning. Strong analytical, problem‑solving, and communication skills, with the ability to influence without direct authority and navigate ambiguity. Preferred qualifications Experience with imaging AI and computer vision products and associated clinical validation methods. Experience with AI and machine learning algorithms used in clinical decision support and physician workflow management. Experience with AI and machine learning‑enabled patient diagnostics and longitudinal care, including patient identification and stratification. Experience with Responsible AI practices, model risk management, and post‑market monitoring for AI solutions. Familiarity with U.S. and EU regulatory considerations for AI‑enabled medical software, including SaMD and emerging AI regulations. Certification in Agile and or Product Management, such as CSPO, PSPO, SAFe, PMP, or equivalent. Experience scaling enterprise vendor partnerships and onboarding solutions for multi‑division reuse. Compensation and Benefits Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see — will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above. Legal and Equal Opportunity Boston Scientific Corporation is an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Location Nearest Major Market: Boston Job Segment: Biomedical Engineering, Product Manager, Information Technology, IT Architecture, Marketing, Operations, Technology #J-18808-Ljbffr Boston Scientific Gruppe