Senior Data Scientist, Digital Product Owner

Additional Location(s): US-CA-Valencia; US-IN-Spencer; US-MA-Marlborough; US-MN-Arden Hills; US-MN-Maple Grove Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

About the role

Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work. Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day. Boston Scientific is seeking an experienced Senior Data Scientist, Digital Product Owner to work with the Global Quality team to help execute the strategy, development and delivery of enterprise-scale data products that enable data-driven decision-making across Global Quality, Regulatory, Manufacturing, Supply Chain and Commercial functions. This role combines the technical depth of a data scientist with the strategic leadership of a product owner. As the voice of the business for a portfolio of analytics and AI-enabled products, you will help define product vision, roadmaps and priorities while partnering with data engineering, architecture, quality and business teams to deliver scalable solutions on modern cloud platforms. You will transform complex business challenges into trusted data products, advanced analytics capabilities and AI-driven insights that improve operational performance, quality outcomes, compliance and customer experiences. This role serves as a bridge between business stakeholders and technical delivery teams, helping ensure investments in data and AI create measurable business value.

Responsibilities

• 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.
• Support product planning activities 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 executing 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 to design scalable, governed data products by defining end-to-end data architecture requirements and leveraging modern platforms to enable trusted self-service analytics, AI-driven insights and continuous improvements in performance, reliability, scalability and cost efficiency.

Qualifications

Required qualifications:

• Bachelor's degree in data science, computer science, information systems, engineering, statistics, mathematics or a related discipline.
• Minimum of 5 years' experience in