(Senior) EMEA AI Product Owner

<p><span><span><b>Additional Locations:</b></span></span> France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead</p> <p><span><span><b>Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance</b></span></span></p> <p><span><span>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. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.</span></span></p> <p><span>A <strong><em>Day in the Life</em></strong> of the EMEA AI Product Owner:</span></p> <p> </p> <p><span>You’ll begin your day translating business needs into technical requirements, prioritizing 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.</span></p> <p> </p> <p><span>You will work on initiatives like AgentForce AI, PACE and other new AI opportunities in the region.</span></p> <p> </p> <p><span>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.</span></p> <p> </p> <p><span>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.</span></p> <p> </p> <p><span>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.</span></p> <p> </p> <p><span>As a champion of the data strategy &amp; enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams self</span><span>‑</span><span>serve trustworthy, governed data at scale.</span></p> <p> </p> <p><strong><span>The role:</span></strong></p> <p><strong><span> </span></strong></p> <p><span>Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the day</span><span>‑</span><span>to</span><span>‑</span><span>day delivery of data products</span><span>: </span><span>Vision </span><span>→</span><span> Roadmap </span><span>→</span><span> Backlog </span><span>→</span><span> Release </span><span>→</span><span> Adoption </span><span>→</span><span> Value.</span></p> <p> </p> <p><span>You will translate business outcomes into product capabilities, manage scope and trade</span><span>‑</span><span>offs, embed governance and privacy by design, and orchestrate delivery across a complex, matrixed landscape.</span></p> <p> </p> <p><span>Success requires a blend of AI technology expertise, stakeholder leadership, and hands-on ownership to deliver secure, compliant solutions for the EMEA region.</span></p> <p> </p> <p><strong><span>Key Responsibilities:</span></strong></p> <ul> <li><span>Backlog ownership &amp; delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.</span></li> <li><span>Value &amp; metrics: Establish VIPs/KPIs/OKRs (adoption, time</span><span>‑</span><span>to</span><span>‑</span><span>data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.</span></li> <li><span>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.</span></li> <li><span>Platform leverage &amp; reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country</span><span>‑</span><span>specific requirements.</span></li> <li><span