Boston Scientific · 10 hours ago
Product Manager, Health AI
US-MN-Arden Hills
Full-time
Hybrid
Mid, Senior Level
$107K/yr - $203K/yr
7+ years expBoston Scientific is a leader in medical science dedicated to transforming lives through innovative medical solutions. As a Product Manager for Health AI, you will drive strategy execution and delivery for a portfolio of Health AI initiatives, translating clinical and business needs into well-governed programs while managing external partners and stakeholders.
Health CareMedicalMedical Device
No H1B
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
Qualification
Required
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
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
Company
Boston Scientific
Boston Scientific is a medical technology company that designs and develops medical devices to diagnose and treat a wide range of condition.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$10.02B2025-02-21Post Ipo Debt· $1.58B
2024-02-22Post Ipo Debt· $2.17B
2022-03-04Post Ipo Debt· $3.28B
Leadership Team
Michael Mahoney
Chairman, President & CEO
Daniel J. Brennan
Chief Financial Officer
Recent News
2026-02-04
2026-02-03
Company data provided by crunchbase