Data & Ai Director Emea jobs at Boston Scientific in Spain

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!

In this role, you will be responsible to:

Evolve Pricing Framework:

o Project manage the development and roll-out of new pricing tools to enhance decision-making and execution across markets.

o Work cross-functionally to streamline pricing processes, ensuring efficiency and alignment with commercial goals.

o Proactively contribute innovative ideas to improve current processes, tools, and solutions.

o Drive usage of pricing analytics, fostering a pricing mindset culture across the organization.

Drive decisions based on reporting and analytics by:

o Conducting ad-hoc analyses to delve into identified pricing challenges or opportunities.

o Define and track key pricing KPIs, ensuring performance aligns with marketing and commercial objectives.

o Providing input for the development and optimization of analytics and dashboards to enhance data-driven decision-making for pricing execution, monitoring key behaviors, patterns, and areas requiring attention

Stakeholder & Change Management:

o Act as a trusted advisor to stakeholders, influencing pricing decisions through data-driven insights and storytelling.

o Drive a pricing mindset across the organization, ensuring alignment between commercial and financial goals.

Professional Background:About 5 years of experience in Pricing, Analytical roles, or Program Management within structured environments.

Project Management Experience: Proven ability to manage complex pricing-related projects, drive cross-functional collaboration, influence different stakeholders, and oversee execution from start to finish.

Change Management Expertise:Experience in implementing new processes and tools, ensuring successful stakeholder engagement and adoption.

B2B Pricing Expertise: Extensive experience in B2B Pricing, including deep knowledge of pricing methodologies, best practices, and execution. Ability to creatively resolve a wide range of issues by applying a full understanding of your area of specialization.

Data Analysis and Presentation: Proven ability to analyze data from multiple sources, and present your findings and recommendations effectively using storytelling techniques and impactful presentations.

Commitment and Initiative: Highly committed and self-driven, with a willingness to challenge the status quo and develop improved ways of working.

Project Management:Strong project management skills, demonstrating the discipline of planning, prioritizing, executing, and monitoring projects and change activities to achieve specified outcomes within a clearly defined time frame.

Innovation and Creativity: Consistently generate new ideas, methods, processes, and solutions. Utilize imagination, creativity, and critical thinking to solve problems and meet needs. Seek new approaches and innovations to improve business decisions, efficiencies, and customer experiences.

Technical Proficiencies:

o Proficient knowledge of MS Office, especially Excel required.

o Tableau or other data visualization tool knowledge is a plus.

o SQL, Access is a plus.

o SalesCloud knowledge is a plus.

· Defined-term contract + lunch vouchers.

· Working in an international environment.

· Inspirational colleagues & culture.

· Innovative environment.

· Company with a purposeful mission.

· Future development opportunities may exist.

This role consists of conducting confidential investigations involving conduct, discrimination, harassment, and retaliation in accordance with BSC policies, local laws, regulations, and requirements. This position also provides the opportunity to use consultative strategies while partnering with other peers and partners on escalations involving performance management, employee accommodations and sensitive employee situations. This position will support all functions in the EMEA region including Commercial Divisions, Global Operations, Global Functions and Global Supply Chain organizations.

Your responsibilities will include:

• Developing strategy and creating investigation plans prior to conducting, managing, and documenting investigations of varied complexity and scope to help support the employee experience as well as mitigate risk for the organization.
• Conduct thorough internal investigations to gather the facts of reported employee concerns to determine any policy violations.
• Assess the severity of determined company policy breaches, involve appropriate stakeholders and provide final recommendations based on policy and company precedent.
• Consult with cross functional peers on inquiries and escalated employee matters including Legal, HR Business Partners, and People Services on a variety of sensitive matters.
• Act as the subject matter expect on company policy and be able to educate and influence the recommendation when there is a determined policy violation.
• Analyze investigations data and provide trend information to appropriate parties as well as strategic actions to address the themes and trends within a business.

Other responsibilities:

• Prepare clear, concise, and accurate investigative reports that summarize findings and provide recommendations for resolution. Present findings to management and other stakeholders as needed.
• Maintain accurate and confidential records of all investigations and employee relations matters. Ensure documentation is complete, secure, and in compliance with legal and company requirements.
• Interpret and apply company policies, procedures, and practices to ensure consistent and fair handling of employee relations matters. Provide guidance and advice to managers and employees on policy-related issues.
• Regularly partners with Legal, HR Business Partners, and People Services on a variety of sensitive matters.
• Represent the organization in cases where the matter is referred to mediation or a tribunal.
• Support the management of the relationship with employee representative groups (work councils, etc.) on behalf of the organization.
• Contribute to the creation and refinement of HR policies in the region.
• Contribute to the evolution of the global employee relations framework and HR operating model, including programs, policies, procedures, practices, and system enhancements.
• Perform other duties as assigned.

Required Qualifications:

• Bachelor’s degree in human resources, business, or a related field.
• 5+ years of progressive experience in human resources, with a focus on employee relations, performance management, and compliance in highly matrixed organizations with multi-country or global focus.
• 5+ years of experience managing and conducting full-cycle, complex internal employee investigations supporting multiple countries.
• Languages: Fluent Spanish and English is a must. Fluency in French, Italian or German is highly preferred.
• Regional Expertise: Strong knowledge of EMEA employment laws and regulations, with specific experience in countries like the UK, Italy, Germany and Netherlands.
• Ability to take initiative and work independently with minimal supervision.
• Demonstrated organizational skills, with the ability to prioritize multiple tasks and manage deadlines effectively.
• Effective collaboration skills with a proven history of working with a variety of internal stakeholders in a complex matrix environment.
• Ability to maintain confidentiality and handle sensitive information.

Other requirements:

• Ability to manage multiple tasks in a fast-paced and matrixed work environment.
• Demonstrated excellent verbal and written communication skills.
• Demonstrated excellent interpersonal, teambuilding and customer service skills.
• Demonstrated ability to comprehend, interpret, and apply the appropriate sections of applicable laws, guidelines, regulations, ordinances, and policies.
• Strong analytical and problem-solving skills