Head of Data Management - Utrecht - Lumanity

Beschrijving

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About Lumanity

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence, translate science into compelling narratives, and enable commercial decisions that position medical products for success. Our work spans Asset Optimization, Value, Access & Outcomes, Medical Strategy, and Real‑World Evidence.

Overview

We are seeking a strategic, technically grounded data leader to shape and scale our data foundations as we continue to normalize and grow. This role goes far beyond operational data management: you will set the vision, architecture, and operating model for how healthcare data are acquired, standardised, engineered, and delivered to stakeholders.

What You'll Do

• Define and own the data management strategy , ensuring alignment with RWE and enterprise‑wide data priorities.
  
• Shape the data architecture and data governance framework , covering ingestion, transformation, quality, lineage, metadata, and access.
  
• Translate emerging business needs into data capabilities, infrastructure priorities, and long‑term operational models.
  
• Oversee ingestion and transformation of diverse healthcare datasets into linked, analysis‑ready assets.
  
• Implement scalable, automated data pipelines and quality frameworks.
  
• Ensure rigorous data quality, completeness, and documentation through team‑led checks and reporting in close collaboration with stakeholders.
  
• Lead evaluation and integration of new healthcare data sources, including work with external partners.
  
• Serve as senior point of contact for internal healthcare optimisation and research teams, ensuring that data delivery meets scientific and operational requirements.
  
• Manage vendor and supplier relationships, negotiate contracts, and ensure delivery of high‑quality, compliant data services.
  
• Coach and develop a high‑performing technical team.
  
• Establish best practices for project planning, sprint execution, data documentation, and reproducible research workflows.
  
• Implement and oversee GDPR‑compliant data management processes and infrastructure.
  
• Advise senior leadership on data risks, dependencies, progress, and investment decisions.
  
• Contribute actively to the RWE leadership team, helping shape organisational priorities and resource planning.
  
• Additional responsibilities as assigned or as specified/agreed in annual objectives.
  

Qualifications

• 5+ years in data‑intensive organisations (healthcare, research, or data science driven services).
  
• Master's or PhD in a quantitative or computational field (e.g., statistics, mathematics, engineering, computer science, physics) or equivalent professional experience.
  
• Proficiency with modern analytics and engineering tools (e.g., Python, SQL, Git; cloud environments; R desirable).
  
• Experience working with structured and unstructured data at scale.
  
• Demonstrated experience implementing GDPR‑compliant data management systems (programmes, policies and processes).
  
• Proven experience leading data teams (engineering, analytics, or data management).
  
• Track record of building or scaling data functions, not only maintaining them.
  
• Ability to influence senior stakeholders and communicate technical concepts clearly to non‑technical audiences.
  
• Strong project management capabilities in complex, multi‑stakeholder environments.
  
• Experience managing external data providers, negotiating contracts, and ensuring vendor performance.
  
• Positively models our diversity, equity and inclusion ethos in all interactions, internally and externally.
  

Core Competencies

• Problem Solving: Acts collaboratively in resolving problems and is able to present solutions rather than just identifying problems. Can acknowledge when one does not know something and is willing to take personal responsibility for finding a solution.
  
• Team Building: Works well with others and helps build a cohesive working environment. Helps others learn and shares knowledge.
  
• Communication: Able to appropriately express opinions in written and verbal form. Clear and articulate when speaking with an individual or group and uses audience‑appropriate language. Listens to others.
  
• Effective Time Management: Organises and prioritises work by devoting adequate time and attention to individual tasks. Effectively plans meetings/keeps appointments and multitasks effectively.
  
• Attention to Detail: Able to provide accurate and consistent work on a timely basis. Documents important details to ensure miscommunications are minimized.
  
• Accountability: Follows through on commitments and agreements. Demonstrates dependability. Takes responsibility for mistakes and missed deadlines. Communicates about progress on commitments.
  
• Stress Tolerance: Must be able to effectively handle stressful or adverse situations and work effectively under difficult conditions. Remains focused in spite of distractions and interruptions.
  
• Reliable and Dependable: Must be able to meet deadlines, show commitment/dedication and accountability for work product, follow through on projects, and demonstrate consistent attendance.
  
• Adaptable and Flexible: Must be able to prioritise and organise workload to adapt to fast‑paced and quickly changing tasks and deadlines.
  
• Proactive and self‑motivated: Must be able to work independently.
  
• Confidentiality: Applies discretion when handling information and data that is confidential or sensitive in nature, maintains confidentiality, and abides by data‑protection laws.
  

Benefits

• Direct impact on real‑world health outcomes.
  
• An environment that prizes autonomy, trust, and purpose.
  
• A role where you can influence not just what we do with data, but how we think about it.
  
• Regular coaching and development opportunities.
  
• Quarterly 1:1s with senior leaders who care about your growth.
  
• Competitive salary and benefits package.
  
• Attractive pension scheme. xhsqlod
  
• Flexible hours and hybrid working model.
  
• A team of smart, kind people who are passionate about what they do.
  

Seniority Level

Director

Employment Type

Full‑time

Job Function

Project Management and Information Technology

Industries

Wholesale Drugs and Sundries

Location(s)

Hoofddorp, North Holland, Netherlands; Amsterdam, North Holland, Netherlands; Dordrecht, South Holland, Netherlands; Amersfoort, Utrecht, Netherlands; Leids, South Holland, Netherlands; Amstelveen, North Holland, Netherlands