(Senior) EMEA AI Product Owner Hemel Hempstead

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance. At Boston Scientific, we 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. With access to the latest tools, information, and training, we help you in advancing your skills and career. Here, you'll be supported in progressing whatever your ambitions.

A Day in the Life of the EMEA AI Product Owner: You'll begin your day translating business needs into technical requirements, prioritising features in the backlog, and overseeing the AI product lifecycle to ensure successful, ethical, and valuable implementations. Key responsibilities include defining success criteria, collaborating with data scientists and engineers, and bridging the gap between business goals and AI capabilities. You will work on initiatives like AgentForce AI, PACE, and other new AI opportunities in the region.

You will collaborate with the AI Product Managers, Data Engineering, Platform Architecture, and Governance teams to clarify data contracts, schemas, lineage, and access models, ensuring each increment is production-ready and guided by design. You'll groom the roadmap and write user stories to add to the backlog, break down epics, refine acceptance criteria, and balance new features with technical debt, observability, and cost efficiency. You'll demo recent increments, gather user feedback, and turn it into testable stories that enhance usability, trust, and performance. You'll brief sponsors on the value delivered and present investment options for the next phases.

Your role is more technically demanding, requiring an understanding of AI technologies and ethical considerations. You must navigate challenges like data privacy and compliance with data protection regulations. Additionally, you will manage AI bias by providing diverse datasets for model training and using bias detection mechanisms to monitor AI outputs.

On a monthly rhythm, you'll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap. As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams self-serve trustworthy governed data at scale.

The role: Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the day-to-day delivery of data products: Vision, Roadmap, Backlog, Release, Adoption, Value. You will translate business outcomes into product capabilities, manage scope and trade-offs, embed governance and privacy by design, and orchestrate delivery across a complex matrixed landscape. Success requires a blend of AI technology expertise, stakeholder leadership, and hands-on ownership to deliver secure, compliant solutions for the EMEA region.

Key Responsibilities:

• Backlog ownership & delivery: Convert outcomes into prioritised epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time to data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Privacy and Data Governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country-specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident risk & release management: Triage issues, lead RCA, and prioritise preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realisation and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelors in Business, Computer Science, Engineering, or related field.
• 7-10 years across product management/ownership, data platforms, analytics, or digital strategy. Experience in medtech, pharma, or consulting is a plus.
• Strong understanding of AI, machine learning, and data science concepts.
• Proven success delivering AI products from concept to scaled adoption.
• Strong understanding of ethical AI considerations.
• Excellent communication and collaboration skills.
• Experience in defining product roadmaps and requirements.
• Familiarity with AI tools and a data-driven approach.
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non-technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• Ownership mindset with high accountability for user satisfaction and product reliability.
• Pragmatic product instincts: you simplify, focus, and drive value creation and delivery of AI products.
• Learning agility and curiosity about emerging capabilities and responsible ways to apply them.

What we offer:

• A chance to drive innovation by delivering meaningful AI solutions across the EMEA region.
• A collaborative global network and supportive coaching culture focused on your growth.
• Opportunities to lead high-impact initiatives that advance analytics and AI adoption across diverse markets.

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most, united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do as a global business and as a global corporate citizen. So choosing a career with Boston Scientific isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!