Boston Scientific Data & AI Director EMEA 

Spain, Community of Madrid 

93896426

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