IT Master Data Governance Manager

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.

We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding.

 

What your responsibilities will be

 

• Master Data Management & Golden Records
  • Help define, implement and evolve Master Data Management capabilities across key enterprise domains such as customer, supplier, product, material, donor, employee or location data.
  • Support the definition of golden record rules, matching, merging, survivorship, hierarchy management and data synchronization patterns across systems.
  • Collaborate with Data Engineering and application teams to integrate master data with ERP, CRM, analytics platforms, data lakes, data warehouses and downstream reporting solutions.
  • Contribute to the design and operation of MDM workflows for data creation, change, approval, exception handling, de-duplication and lifecycle management.
• Data Governance, Quality & Compliance
  • Support the implementation of data governance policies, standards, ownership, stewardship responsibilities, decision rights and escalation mechanisms. Make data standards available for Advance Analytics consumption: data AI readiness.
  • Define and monitor data quality rules, KPIs, thresholds and remediation processes to improve accuracy, completeness, consistency, timeliness and trust.
  • Work with business data owners and stewards to identify root causes of data issues and drive sustainable corrective actions at the source.
  • Ensure data initiatives consider security, privacy, auditability, regulatory expectations and compliance requirements in a highly regulated environment.
  • Experience building and maintaining data catalogs for lake house environments, ensuring that high-value analytical variables and datasets are documented, contextualized and reusable for Advanced Analytics, AI use cases and MDM initiatives
  • Experience defining business ontologies, semantic models and controlled vocabularies to improve data consistency, interoperability, discoverability and AI-readiness across enterprise data domains.
  • Knowledge of AI governance concepts, data governance for AI, responsible AI principles, privacy-by-design, data risk assessment and emerging regulatory expectations such as the EU AI Act.
• Enterprise Data Transformation & Operating Model
  • Support the execution of the company data transformation roadmap, helping move the organization toward governed, trusted and reusable enterprise data capabilities.
  • Translate strategic data objectives into actionable initiatives, deliverables, milestones and adoption plans across IT and business domains.
  • Contribute to the definition and implementation of a hybrid / federated data operating model, balancing central standards with business domain execution.
  • Drive coordination across Data Office, IT teams, Business stakeholders, external partners and data owners to ensure consistent execution and accountability.
• Metadata, Catalog, Lineage & Documentation
  • Promote the adoption of business glossaries, data dictionaries, metadata standards and cataloging practices to improve discoverability and common understanding of data.
  • Support the documentation of critical data flows, lineage, transformations, ownership, usage, controls and dependencies across source systems and analytical platforms.
  • Help establish reusable templates, standards and ways of working for documenting data architecture, MDM domains, data products, data marketplace publishing practices and governance processes.

 

Who you are

 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions).

 

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering or a related field.
• Minimum of 5 years of experience in data management, master data managemen