Senior Data Scientist, Digital Product Owner

Additional locations: 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 data science, analytics, data products, digital transformation or related fields.
• Proven experience leading cross-functional initiatives involving business stakeholders, data engineering teams and technical delivery organizations.
• Strong experience working within Agile delivery frameworks and product management practices.
• Exceptional communication, stakeholder management, facilitation and strategic thinking skills.
• Experience operating in highly regulated environments, such as medical devices, health care, life sciences or manufacturing.

Preferred qualifications:

• 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.

Schedule

This role follows a hybrid work model requiring employees to be in the local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.