Principal Data Scientist, Digital Product Owner

Boston Scientific•Arden Hills, MN
•$102,100 - $194,000•Hybrid

About The Position

Boston Scientific is seeking a highly experienced Principal Data Scientist to lead the strategy, development, and delivery of enterprise-scale data products that support data-driven decisions across Global Quality, Regulatory, Manufacturing, Supply Chain, and Commercial functions. The role combines data science expertise with product ownership, serving as the business voice for a portfolio of analytics and AI-enabled products. The position defines product vision, roadmaps, and priorities while partnering with data engineering, architecture, quality, and business teams to deliver scalable solutions on modern cloud platforms. The role turns complex business challenges into trusted data products, advanced analytics capabilities, and AI-driven insights to improve operational performance, quality outcomes, compliance, and customer experiences. It bridges business stakeholders and technical delivery teams to help ensure data and AI investments generate measurable business value. This position follows a hybrid work model, with employees required to work in a local office at least three days per week. Sponsorship and relocation assistance are not available. The position is considered safety-sensitive and requires a prohibited substance test.

Requirements

  • Bachelor's degree in data science, computer science, information systems, engineering, statistics, mathematics, or a related discipline.
  • At least 8 years of experience in data science, analytics, data products, digital transformation, or related fields.
  • At least 3 years of experience as a product owner, product manager, or digital product lead.
  • Proven experience leading cross-functional initiatives involving business stakeholders, data engineering teams, and technical delivery organizations.
  • Strong experience with Agile delivery frameworks and product management practices.
  • Exceptional communication, stakeholder management, facilitation, and strategic thinking skills.
  • Experience working in highly regulated environments such as medical devices, health care, life sciences, or manufacturing.

Nice To Haves

  • Master's degree in data science, computer science, statistics, analytics, business, engineering, or a related discipline.
  • Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, Project Management Professional (PMP), or equivalent certification.
  • Experience leading enterprise data domains or data product portfolios.
  • Experience implementing AI and generative AI solutions in regulated environments.
  • Experience supporting quality, manufacturing, regulatory, commercial, or supply chain analytics initiatives.
  • Demonstrated success delivering enterprise-scale data modernization programs.

Responsibilities

  • Own the vision, strategy, roadmap, and backlog for enterprise data products and analytics platforms.
  • Partner with business leaders to identify high-value opportunities and translate them into actionable product requirements.
  • Define and prioritize user stories, acceptance criteria, and delivery milestones using Agile methodologies.
  • Lead product planning and communicate roadmap progress, risks, dependencies, and outcomes to senior leadership.
  • Establish product KPIs and success metrics focused on adoption, business value, data quality, and operational impact.
  • Establish and govern trusted enterprise data products by defining ownership, metadata standards, data contracts, and governance controls, while ensuring compliance with quality, privacy, security, regulatory, data integrity, cybersecurity, and responsible AI requirements.
  • Partner with data engineering teams to define end-to-end data architecture requirements and design scalable, governed data products using modern platforms.
  • Enable trusted self-service analytics and AI-driven insights, and drive continuous improvements in performance, reliability, scalability, and cost efficiency.
  • Align business, IT, and functional stakeholders across a global, matrixed organization.
  • Drive adoption of data products through governance and engagement.
  • Develop analytical and product management capabilities across teams.

Benefits

  • Employee benefits are offered; details are referenced at www.bscbenefitsconnect.com.
  • Exempt, non-sales roles may be eligible for an annual bonus target and long-term incentives, subject to plan eligibility and other requirements.
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