(Senior) EMEA AI Product Owner - Düsseldorf at Boston Scientific Corporation Malaysia

Düsseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Management, Data Governance, Stakeholder Management, Agile Methodologies, Data Privacy, Compliance, User Story Writing, Backlog Management, Collaboration, Technical Requirements, Ethical AI, Data Strategy, Risk Management, Financial Stewardship, Product Roadmapping, Incident Management

Industry

Medical Equipment Manufacturing

Description

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. 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. Backlog ownership & delivery: Convert outcomes into prioritized 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 prioritize 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 realization 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. Experience in medtech, pharma/consulting is a plus. Experience in defining product roadmaps and requirements.

Responsibilities

Translate business needs into technical requirements and oversee the AI product lifecycle. Collaborate with various teams to ensure successful and ethical implementations of AI initiatives.