Senior Strategic Account Manager - Hs & P Nordics jobs at Boston Scientific in Sweden, Helsingborg

France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

ADay in the Lifeof the EMEA Data Product Manager & Owner:

You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.

When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.

You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.

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 selfserve trustworthy, governed data at scale.

The role:

Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.

Key Responsibilities:

• Product vision & strategy: Define a 12–24‑month vision, value hypotheses, and positioning for EMEA data products, maintain an outcome‑based roadmap aligned with enterprise standards and local needs.
• 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.
• 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.
• Data contracts & semantics: Maintain versioned schemas and contracts, define business rules and semantic layers that ensure interoperability across domains.
• 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.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Medtech/pharma/consulting experience is a plus.
• Proven success delivering data products from concept to scaled adoption (data product mindset desirable).
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations (SLAs/SLOs, observability).
• 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:

• A passion for enabling teams with trustworthy, usable data, and a bias for measurable outcomes.
• Ownership mindset with high accountability for user satisfaction and product reliability.
• Pragmatic product instincts: you simplify, focus, and ship, balancing new value with platform hygiene and cost.
• Curiosity for emerging capabilities (semantic modeling, GenAI augmentation …etc.) and how to apply them responsibly.

What do we offer:

• A chance to shape the EMEA data product portfolio and set enterprise‑wide standards.
• 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.
• A coaching culture environment focusing on your success and development!