Data Classification, Standards & Definitions Partner

• Location: Barcelona

We are seeking a skilled Data Classification, Standards & Definitions Partner to join our Global Workforce Data Standards team. This role is critical to establishing and maintaining consistent, high-quality data assets across our global Workday implementation. The successful candidate will serve as a subject matter expert, driving data standardization initiatives while ensuring compliance and enabling our Data Foundation strategy.

• Translate business decisions into usable, consistent data assets across the organization
• Document and maintain approved data definitions and data quality (DQ) rules
• Maintain comprehensive data catalog, glossary, lineage documentation, and standardized definitions
• Ensure data consistency and traceability across all systems and processes

• Lead data classification initiatives to categorize and organize enterprise data assets
• Classify data according to sensitivity, regulatory requirements, and business criticality
• Manage data sharing agreements and ensure appropriate access controls
• Serve as key point of contact for domain-specific data knowledge and expertise

• Investigate root causes of data issues across Workday systems (beyond detection to resolution)
• Analyze local Workday rules, validations, and configurations that impact global standardization efforts
• Identify where local configurations create barriers to cloning or implementing global standards
• Distinguish between legitimate legal/compliance constraints and legacy or preference-based rules

• Enable data initiatives for the Data Foundation and serve as key subject matter expert within assigned scope
• Support AI and analytics initiatives through proper data classification and standardization
• Collaborate with Data Foundation team to ensure data readiness for advanced analytics and AI applications

• Train and support Local Data Champions across regions and business units
• Build comprehensive knowledge content on data management for AI applications and employee self-service
• Develop training materials and documentation to support data literacy initiatives
• Facilitate knowledge transfer and best practice sharing across the organization

• Bachelor's degree in Data Management, Information Systems, Business Administration, or related field
• 3-5 years of experience in data management, data governance, or business analysis roles
• Proven experience with Workday HCM/Financial systems and configuration management
• Experience with data classification, metadata management, and data quality initiatives

• Strong understanding of Workday architecture, configurations, and data structures
• Experience with data governance tools and methodologies
• Knowledge of data lineage, data cataloging, and metadata management practices
• Familiarity with data quality assessment and remediation techniques
• Understanding of regulatory compliance requirements (GDPR, data privacy, etc.)

• Excellent analytical and problem-solving skills with attention to detail
• Strong communication skills with ability to translate technical concepts for business stakeholders
• Project management capabilities with experience leading cross-functional initiatives
• Change management skills and ability to influence without direct authority
• Global mindset with understanding of regional compliance and business requirements

Preferred Qualifications

• Workday certification in HCM, Financial Management, or related modules
• Experience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)
• Knowledge of AI/ML data requirements and data preparation processes
• Experience in pharmaceutical, healthcare, or highly regulated industries
• Multilingual capabilities to support global operations

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Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

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Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.