Senior AI Product Owner

Additional Location(s): US-MA-Marlborough

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.           

Senior AI product owner – GenAI & agentic AI applications

About the role:
Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and drive cutting-edge solutions. We are seeking a Senior AI Product Owner – GenAI & Agentic AI Applications to lead the development and delivery of Generative AI (GenAI) and Agentic AI applications across the organization.

This role will drive execution of high-impact AI initiatives that align with our strategic goals and deliver measurable business value. It offers an outstanding opportunity for growth and will be integral to the Enterprise AI Team, focusing on both product strategy and hands-on delivery.

As a product owner, you will shape the product vision, define and prioritize features, and deliver robust AI solutions—from ideation to production—by translating complex AI capabilities into impactful business applications.

Work model, sponsorship, relocation:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

Your responsibilities will include:

• Owning the end-to-end product lifecycle for custom GenAI and Agentic AI applications, from idea intake through deployment, knowledge transfer, and hypercare

• Defining and driving the roadmap for GenAI and Agentic AI products in partnership with stakeholders across functions

• Serving as the primary liaison between business users and technical teams (AI engineering, architecture, and platform), converting AI opportunities into tangible business features

• Leading cross-functional Agile teams, managing the product backlog, and facilitating key ceremonies (sprint planning, reviews, retrospectives, daily stand-ups)

• Capturing high-value use cases through discovery workshops, interviews, and analysis sessions; defining problem statements and prioritizing value delivery

• Managing change management efforts, including stakeholder communication, adoption planning, and issue resolution during hypercare

• Ensuring robust documentation and training materials are created to support scalable deployment and adoption across teams

• Tracking success metrics and KPIs, informing iterative product improvements, and contributing to long-term roadmap planning

• Acting as a champion for responsible AI practices—embedding security, compliance, and ethical AI principles throughout delivery

• Partnering closely with internal stakeholders to evangelize AI opportunities and scale emerging GenAI and Agentic AI capabilities

• Implementing and managing LLM evaluation frameworks, such as OpenAI Evals, to systematically assess and improve the performance, reliability, and safety of AI applications

Qualifications:

Required qualifications:

• Bachelor’s degree in Business, Engineering, Computer Science, or related field

• Minimum of 5 years' experience in digital product management within custom application delivery

• Strong familiarity with large language models (LLMs), AI agents, prompt engineering, and their application in enterprise use cases

• Experience working with technical teams on GenAI, AI/ML, data, or analytics products

• Deep interest in emerging AI technologies and their real-world applications

• Proficiency in Agile/Scrum delivery practices

• Working knowledge of machine learning concepts and system architecture