Boston Scientific Gruppe
Senior Manager, AI Product and Portfolio Management
Boston Scientific Gruppe, Marlborough, Massachusetts, us, 01752
Senior Manager, AI Product and Portfolio Management
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. The healthcare industry is experiencing rapid digital transformation, reshaping patient experiences and expectations. At Boston Scientific, we see this evolution as a powerful opportunity to advance science through innovative, insights-driven digital solutions. As the Senior Manager, AI Product and Portfolio Management, you will guide a team of AI Product Owners in delivering enterprise-level AI and Generative AI programs through agile, fast-paced execution. You will own the AI portfolio strategy and execution, ensuring alignment with Boston Scientific’s digital roadmap and long-term vision. In this role, you will oversee the delivery of scalable, high-impact AI solutions, working closely with AI Engineering, Platform Managers, and cross-functional teams across the business. You’ll bring an “AI-first” mindset, helping to drive continuous innovation, accelerate development using AI to build AI, and establish best-in-class product management practices for artificial intelligence. Your responsibilities will include: Lead and mentor AI Product Owners and Program Managers to deliver enterprise-wide AI solutions Accelerate delivery by using AI to build AI—empower the team with AI-powered processes to drive efficiency and speed Execute on a robust AI product and portfolio roadmap aligned with enterprise digital strategy AI portfolio management and value delivery Own the full AI portfolio lifecycle: intake, prioritization, funding, resource allocation, execution, and value realization Collaborate with business and technical leaders to define and report KPIs for adoption, outcomes, and financial impact Provide regular updates to senior leadership, ensuring strategic alignment and measurable results Streamline end-to-end processes to improve speed and scalability of AI product delivery Cross-functional collaboration Act as a strategic connector across AI Engineering, Platform, Data Science, IT, Enterprise Architecture, and Business Units Design, implement, and evolve an AI operating model for scalable and sustainable delivery Agile product operations and governance Champion Agile product delivery practices and AI-enabled tools for backlog management, sprint planning, and reporting Standardize documentation, decision-making gates, and risk management processes Lead and scale enterprise-wide AI initiatives with alignment to data governance, compliance, and ethical AI standards Promote reusability of AI capabilities to accelerate time-to-value and reduce duplication Financial and risk stewardship Manage fiscal planning and performance for the AI portfolio, including annual operating plan development and budget oversight Thought leadership and innovation Stay current on emerging AI trends and translate insights into business opportunities Technical depth and AI literacy Possess a solid understanding of machine learning, large language models, and emerging technologies—not to code, but to ask the right questions and make informed decisions Evaluate feasibility, scalability, and risks of AI solutions Understand data ecosystems, model lifecycle, and system architecture for sustainable AI delivery Required qualifications: Bachelor’s degree in Business, Engineering, Computer Science, or a related field Minimum of 7 years' experience in digital product management within custom application delivery in a large matrixed organization Proven experience leading and developing product owners to drive value and alignment Demonstrated financial acumen to assess product investments, trade-offs, and ROI Strong familiarity with large language models (LLMs), AI agents, prompt engineering, and enterprise AI use cases Experience collaborating with technical teams such as AI Platform and Engineering on GenAI, AI/ML, and data products Deep interest in emerging AI technologies and their real-world applications Certification in Product Management and/or Agile Scrum (e.g., CSPO, PSPO, SAFe, or equivalent) Skilled in gathering and documenting functional requirements Self-driven leader with an entrepreneurial, AI startup mindset focused on rapid innovation and measurable impact Strong analytical, problem-solving, and communication skills to influence and align stakeholders Preferred qualifications: Product experience leading an AI product team in a startup environment Experience presenting to stakeholders and gaining buy-in across all organizational levels Proven ability to work independently while engaging cross-functional teams to drive outcomes Demonstrated ability to manage competing priorities in a fast-paced environment Comfortable navigating ambiguity and influencing without direct authority Strong team collaborator with a commitment to supporting others and fostering innovation Boston Scientific is an equal opportunity employer and values diversity and inclusion in the workplace.
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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. The healthcare industry is experiencing rapid digital transformation, reshaping patient experiences and expectations. At Boston Scientific, we see this evolution as a powerful opportunity to advance science through innovative, insights-driven digital solutions. As the Senior Manager, AI Product and Portfolio Management, you will guide a team of AI Product Owners in delivering enterprise-level AI and Generative AI programs through agile, fast-paced execution. You will own the AI portfolio strategy and execution, ensuring alignment with Boston Scientific’s digital roadmap and long-term vision. In this role, you will oversee the delivery of scalable, high-impact AI solutions, working closely with AI Engineering, Platform Managers, and cross-functional teams across the business. You’ll bring an “AI-first” mindset, helping to drive continuous innovation, accelerate development using AI to build AI, and establish best-in-class product management practices for artificial intelligence. Your responsibilities will include: Lead and mentor AI Product Owners and Program Managers to deliver enterprise-wide AI solutions Accelerate delivery by using AI to build AI—empower the team with AI-powered processes to drive efficiency and speed Execute on a robust AI product and portfolio roadmap aligned with enterprise digital strategy AI portfolio management and value delivery Own the full AI portfolio lifecycle: intake, prioritization, funding, resource allocation, execution, and value realization Collaborate with business and technical leaders to define and report KPIs for adoption, outcomes, and financial impact Provide regular updates to senior leadership, ensuring strategic alignment and measurable results Streamline end-to-end processes to improve speed and scalability of AI product delivery Cross-functional collaboration Act as a strategic connector across AI Engineering, Platform, Data Science, IT, Enterprise Architecture, and Business Units Design, implement, and evolve an AI operating model for scalable and sustainable delivery Agile product operations and governance Champion Agile product delivery practices and AI-enabled tools for backlog management, sprint planning, and reporting Standardize documentation, decision-making gates, and risk management processes Lead and scale enterprise-wide AI initiatives with alignment to data governance, compliance, and ethical AI standards Promote reusability of AI capabilities to accelerate time-to-value and reduce duplication Financial and risk stewardship Manage fiscal planning and performance for the AI portfolio, including annual operating plan development and budget oversight Thought leadership and innovation Stay current on emerging AI trends and translate insights into business opportunities Technical depth and AI literacy Possess a solid understanding of machine learning, large language models, and emerging technologies—not to code, but to ask the right questions and make informed decisions Evaluate feasibility, scalability, and risks of AI solutions Understand data ecosystems, model lifecycle, and system architecture for sustainable AI delivery Required qualifications: Bachelor’s degree in Business, Engineering, Computer Science, or a related field Minimum of 7 years' experience in digital product management within custom application delivery in a large matrixed organization Proven experience leading and developing product owners to drive value and alignment Demonstrated financial acumen to assess product investments, trade-offs, and ROI Strong familiarity with large language models (LLMs), AI agents, prompt engineering, and enterprise AI use cases Experience collaborating with technical teams such as AI Platform and Engineering on GenAI, AI/ML, and data products Deep interest in emerging AI technologies and their real-world applications Certification in Product Management and/or Agile Scrum (e.g., CSPO, PSPO, SAFe, or equivalent) Skilled in gathering and documenting functional requirements Self-driven leader with an entrepreneurial, AI startup mindset focused on rapid innovation and measurable impact Strong analytical, problem-solving, and communication skills to influence and align stakeholders Preferred qualifications: Product experience leading an AI product team in a startup environment Experience presenting to stakeholders and gaining buy-in across all organizational levels Proven ability to work independently while engaging cross-functional teams to drive outcomes Demonstrated ability to manage competing priorities in a fast-paced environment Comfortable navigating ambiguity and influencing without direct authority Strong team collaborator with a commitment to supporting others and fostering innovation Boston Scientific is an equal opportunity employer and values diversity and inclusion in the workplace.
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