Senior AI Product Owner - GenAI & Agentic AI Applications

Additional Location(s): US-MN-Arden Hills; US-MN-Maple Grove

 

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:
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.

 

This individual will be responsible for shaping the product vision, defining and prioritizing features, and delivering robust AI solutions—from ideation to production—by translating complex AI capabilities into impactful business applications.

 

Work Mode
Boston Scientific follows a hybrid work model, requiring team members to be on-site at least three days per week to foster strong collaboration and synergy.

 

Visa Sponsorship
Boston Scientific will not sponsor or assume sponsorship of an employment visa for this role at this time.

 

Your Responsibilities Will Include:

• Own the end-to-end product lifecycle for custom GenAI, and Agentic AI applications—from idea intake through deployment, knowledge transfer (KT), and hypercare.
• Define and drive the roadmap for GenAI and Agentic AI products in partnership with stakeholders across functions.
• Serve as the primary liaison between business users and technical teams (AI engineering, architecture and platform), converting AI opportunities into tangible business features.
• Lead cross-functional Agile teams, owning the product backlog, and facilitating key ceremonies (sprint planning, reviews, retrospectives, daily stand-ups).
• Capture high-value use cases through discovery workshops, interviews, and analysis sessions; define problem statements and prioritize value delivery.
• Manage change management, including stakeholder communication, adoption planning, and issue resolution during hypercare.
• Ensure robust documentation and training materials are created to support scalable deployment and adoption across teams.
• Track success metrics and KPIs, inform iterative product improvements, and contribute to long-term roadmap planning.
• Act as a champion for responsible AI practices—ensuring security, compliance, and ethical AI principles are embedded throughout delivery.
• Partner closely with internal stakeholders to evangelize AI opportunities, helping scale emerging GenAI and Agentic AI capabilities.
• Implement and manage LLM evaluation frameworks, such as OpenAI Evals, to systematically assess and improve the performance, reliability, and safety of AI applications.
   

Required Qualifications:

• Bachelor’s degree in Business, Engineering, Computer Science, or related field.
• 5+ years of experience in digital product management within custom application delivery.
• Strong familiarity with large language models (LLMs), AI agents, prompt engineering, and how these technologies are applied in enterprise use cases.
• Experience working with technical teams on GenAI, AI/ML, data, or analytics products.
• Experience presenting to stakeholders and gaining buy-in, with the ability to communicate effectively at all organizational levels. 
• Deeply interested in emerging AI technologies and their real-world applications. 
• Proficient in Agile/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. 
• Experience managing go-live, KT, and post-launch support.
   

Preferred Qualifications:

• Experience delivering digital capabilities for healthcare professionals and patients.
• Experience working with Generative AI and large language models (LLMs), with a preference