Senior Product Owner, Generative & Agentic AI Applications

Additional Location(s): US-MN-Arden Hills

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. 

 

About the role:

At Boston Scientific, innovation is driven by purpose: advancing science for life to improve the health of patients around the world. We are seeking a Senior Product Owner, Generative and Agentic AI Applications to help shape how emerging AI technologies enhance care, accelerate discovery, and make a meaningful difference for the people we serve.

 

In this role, you will lead the development and delivery of Generative AI (GenAI) and Agentic AI applications that support teams across our enterprise. Working within the Enterprise AI Team, you will define product vision, prioritize features, and guide solutions from concept to launch.

 

You will collaborate with data science, engineering, and business partners to translate complex AI capabilities into practical tools that help clinical, commercial, and operational teams work smarter and faster. This is an opportunity to grow your career at the intersection of technology and purpose in an environment that values curiosity, inclusion, and collaboration.

 

Work model, sponsorship, and 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 may be available for this role.

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
• Leading cross-functional Agile teams and managing the product backlog to deliver GenAI solutions iteratively, ensuring collaboration across data science, engineering, and business teams
• Serving as the primary liaison between business users and technical teams (AI engineering, architecture, and platform), converting AI opportunities into tangible business features
• Capturing high-value use cases through discovery workshops, interviews, and analysis sessions, defining problem statements and prioritizing value delivery
• Defining and delivering AI-powered applications such as intelligent assistants, document summarization tools, and knowledge retrieval agents for clinical, regulatory, and commercial teams
• 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 by 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 or Scrum delivery practices
• Working knowledge of machine learning concepts and system architecture
• Skilled in gathering and documenting functional requirements
• Strong analytical, problem-solving, and communication skills to drive alignment