Emea Data Product Manager & Owner - Madrid jobs at Boston Scientific in Spain

About the Role

The appointed Regional Sales Manager will lead the area of Andalucía.

Sales Strategy & Execution

• Develop and lead regional sales strategies aligned with national goals and corporate vision.
• Conduct Quarterly Business Reviews (QBRs) to analyze performance, address gaps, and define corrective actions.
• Identify and seize local market opportunities, optimizing territory planning and resource allocation.
• Collaborate with Marketing to support sales initiatives, expand coverage, and reinforce Boston Scientific’s value proposition.

Leadership & Team Development

• Lead, coach, and develop the regional EP sales force (AMs and FCSs), with a strong focus on role specialization, execution, and results.
• Provide consistent, hands-on guidance to the team through coaching, field visits, performance reviews, and skills development.
• Foster a culture of accountability, collaboration, and continuous improvement.

Cross-Franchise & Strategic Collaboration

• Ensure effective coordination with the CRM RSM to optimize synergies across the RM division.
• Actively support the KAM organization in strategic key accounts, ensuring unified execution and aligned messaging.
• Collaborate with cross-functional stakeholders to integrate clinical, commercial, and operational inputs in account strategies.

Market & Business Insight

• Monitor and interpret healthcare trends, regional policies, and competitor activities to inform strategy and maintain market leadership.
• Provide actionable insights to internal stakeholders to adapt and refine go-to-market approaches.
• Ensure product and market knowledge remains current across the team.

Customer Relationship Management

• Build and maintain strong relationships with Key Opinion Leaders (KOLs), major accounts, and key clinical and administrative decision-makers.
• Support high-stakes negotiations, educational initiatives, and partnership building across the territory.
• Develop and execute bundled and value-added commercial solutions that meet both clinical and economic customer needs.

Sales Operations & CRM Usage

• Ensure full adoption of Salesforce CRM for accurate tracking of customer engagements, pipeline opportunities, and market intelligence.
• Use CRM data for performance monitoring, forecasting, and territory alignment.

Quality & Compliance

• Promote a strong culture of quality and regulatory compliance across all activities.
• Ensure that all field force activities are aligned with Boston Scientific’s standards and ethical practices.

What We’re Looking for in You:

• Experience: Minimum 2 years in a sales management role, ideally within the medical technology or healthcare sector.
• Education: Degree in Biomedical Engineering, Sciences, Nursing, Business, or a related field.
• Languages: Fluency in Spanish and English.
• Industry Knowledge: Deep understanding of the MedTech environment, capital equipment sales, and regional healthcare systems.
• Leadership Skills: Proven ability to lead teams, manage change, and drive performance in a dynamic environment.
• Business Acumen: Strong analytical, strategic thinking, and decision-making capabilities.
• Customer Orientation: Ability to develop impactful customer relationships and solutions.
• Collaboration & Communication: Strong interpersonal and cross-functional collaboration skills.

What can we offer to you:

• Permanent working contract with attractive benefits.
• Work life balance.
• Working in an international environment.
• Inspirational colleagues & culture.
• A company that strives for personal and professional development.
• A dynamic and management-related role within one of our groundbreaking and innovative divisions.

Remote

About the Role

This permanent position offers remote working and can be based in the UK, Italy, Spain, France or Germany.

Please note that this role requires approximately 65% international travel across EMEA, Latin America and Asia Pacific.

Your responsibilities will include:

• Collaborate with Regional and Country leaders to develop a fully detailed country business strategy for EndoBariatrics to include stated objectives and action plans, inclusive of market mapping, identifying potential gaps and championing new opportunities.
• Work with regional commercial leaders to ensure sales reps are adequately trained. Support the design and execution of BSCI and channel partners staff training and education. Monitor post training results to assess needs for further training opportunities.
• Act as liaison and consultant with regional marketing teams to identify and develop market strategies aimed at maximising market share, promoting prolific new product launches and building brand awareness and customer loyalty.
• Coordinate with local country leaders to plan and execute geographic expansion of the EndoBariatrics business into new and developing markets.
• Manage the development and implementation of KOL advisory boards, customer programs, and networks.
• Execute key society engagement and management strategies and tactics to support the advocacy of EndoBariatrics, tailored for each region.
• Support reimbursement initiatives within each region, in partnership with global and regional HEMA teams.
• Ongoing identification of new opportunities and markets to be explored, offering understanding, tracking of competitors and market shifts, and review of the broad strategic direction.

What are we looking for in you:

• Holder of a scientific degree or business management qualification.
• Approximately 7-10 years industry experience within the biomedical or healthcare sector, working directly with medical devices or pharmaceutical products.
• Commercial experience within the scientific or healthcare sector, such as product sales or marketing.
• Experience working with weight loss treatment products or solutions is beneficial.
• English language skills at an advanced working proficiency level (or above). Additional language skills are beneficial.
• Excellent communication and interpersonal skills.
• KOL engagement experience is preferred.
• Collaborative and a relationship builder.
• Can work cross-functionally in a matrix environment.
• Willing and can travel internationally as required by workload (approximately 65%).

What we can offer to you:

• Experience in a groundbreaking multinational company with attractive benefits.
• Inspirational colleagues and culture.
• Fast growing and innovative environment.
• A permanent position.
• Remote working.
• International travel.

The anticipated annualized base amount or range for this full time position will be$70,000 to $90,000, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

France-Voisins le Bretonneux; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; United Kingdom-Hemel Hempstead

Your responsibilities will include:

Data governance and strategy
• Lead the development and execution of data strategy and governance across the EMEA region
• Ensure continuous improvement of data quality for internal and external stakeholders, including GPOs and HCPs
• Establish and maintain frameworks for data governance, ethics, and compliance with HIPAA, GDPR, and other regulations
• Ensure all data is trustworthy, compliant, and AI-ready

AI, data science, and product leadership
• Oversee the development, deployment, and lifecycle management of AI/ML models
• Ensure alignment with business strategy and regulated IT infrastructure
• Provide technical leadership across data science, data engineering, and AI/ML functions

Strategic vision and alignment
• Collaborate with AI delivery teams to ensure alignment of regional business priorities with scalable, AI-driven solutions
• Define and consolidate long-term product strategies and roadmaps for the EMEA region
• Deliver a clear, actionable product vision aligned with company and market needs

• Lead and develop a high-performing team of data scientists and engineers
• Foster a culture of innovation, collaboration, and excellence

Compliance and risk management
• Ensure all AI and data solutions comply with legal, regulatory, and privacy requirements
• Oversee privacy impact assessments and data-related incident response processes

• Partner with Global IT, Privacy, Cybersecurity, Enterprise Architecture, and business stakeholders to implement and adopt data solutions
• Drive enterprise-wide adoption and change management of new solutions

Stakeholder engagement
• Act as a strategic partner across EMEA divisions and functions
• Manage stakeholder expectations, secure support and funding, and drive alignment for Data & AI initiatives
• Address escalations and ensure effective communication across complex environments

• Track KPIs and product metrics to measure the success and adoption of AI and data solutions
• Support ongoing change management efforts and solution improvements

Required qualifications:
• Minimum of 10 years' experience in data science, AI/ML, or related data engineering fields
• Proven leadership in managing cross-functional teams and large-scale data initiatives
• Strong business acumen and ability to develop ROI-driven AI business cases
• In-depth knowledge of AI, machine learning, and data engineering practices
• Excellent communication and interpersonal skills; ability to engage non-technical stakeholders
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment

Preferred qualifications:
• Prior experience in the healthcare, life sciences, or medical technology sectors
• Familiarity with privacy regulations including GDPR and HIPAA
• Experience working within global or matrixed organizations

• A compelling opportunity to lead impactful and innovative data and AI initiatives across EMEA
• A collaborative, global work environment with access to leading-edge technologies
• A coaching culture focused on development, leadership, and career growth

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

In this hands-on, collaborative role, you’ll design, build, and operate cloud-based data platforms and MLOps pipelines. You’ll work with data engineers, AI teams, architects, and product managers to create secure, scalable, and reusable services that allow analytics and AI teams to move fast without compromising governance or compliance. From ingestion and orchestration to monitoring, model deployment, and retraining, your work will make data and AI truly operational across EMEA.

What you will do

• Build and manage cloud data platforms, including data lakes, warehouses, streaming systems, and orchestration layers.
• Design and maintain MLOps pipelines covering the full lifecycle: experimentation, training, deployment, monitoring, and retraining.
• Embed security, observability, and compliance (e.g., GDPR) into every layer.
• Collaborate globally to deliver reusable infrastructure, templates, and standards.
• Coach teams on best practices, enabling them to leverage platforms and accelerate AI delivery.

Who we are looking for

• 5–8+ years in data, platform, or MLOps engineering, with a degree in Computer Science, Engineering, or related field.
• Hands-on experience with cloud platforms (AWS, Snowflake; Azure a plus), Python, SQL, and distributed frameworks (Spark/EMR).
• Expertise in infrastructure-as-code (Terraform), CI/CD pipelines, and containerized/orchestrated environments (Docker/Kubernetes).
• Proven experience building and operating MLOps pipelines (SageMaker, MLflow, Kubeflow, or Vertex AI).
• Strong communicator, able to collaborate across technical and non-technical teams.

Start with a conversation with a recruiter, followed by an interview with the hiring manager and a technical interview.

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

ADay in the Lifeof the EMEA AI Product Owner:

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 selfserve trustworthy, governed data at scale.

The role:

Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the dayday delivery of data products

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

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 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.

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. Experience in medtech, pharma/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 do 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‑

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!