Boston Scientific Senior AI Product Owner - GenAI & Agentic Applications 

United States, Massachusetts, Marlborough 

869722600

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 for those who have contributed to the development and implementation of these technologies.
• Proven ability to work independently while proactively engaging with team members, colleagues, and stakeholders to align and drive solutions forward.
• Effective management of conflicting priorities in a fast-paced environment.
• Ability to navigate ambiguity and influence team members effectively to achieve project goals.
• Demonstrated ability to prioritize team collaboration and actively support all team members.

Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.