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Data Classification, Standards & Definitions Partner

Data Engineer • Vor Ort • Vollzeit • 📍 Budapest

Sanofi's Global Workforce Data Standards team is looking for a Data Classification, Standards & Definitions Partner who, as a subject matter expert, will establish and maintain consistent, high-quality data assets across the global Workday implementation, enabling the company's Data Foundation strategy.

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Responsibilities

  • Translate business decisions into usable, consistent data assets across the organization
  • Document and maintain approved data definitions and data quality (DQ) rules
  • Maintain the data catalog, glossary, lineage documentation and standardized definitions
  • Ensure data consistency and traceability across all systems and processes
  • Lead data classification initiatives to categorize enterprise data assets
  • Classify data according to sensitivity, regulatory requirements and business criticality
  • Manage data sharing agreements and ensure appropriate access controls
  • Investigate root causes of data issues across Workday systems, beyond detection to resolution
  • Analyze local Workday rules, validations and configurations that impact global standardization, distinguishing legitimate legal/compliance constraints from legacy rules
  • Support AI and analytics initiatives through proper data classification and standardization
  • Train and support Local Data Champions across regions and business units
  • Develop training materials and documentation to support data literacy initiatives

Requirements

  • 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
  • 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, translating technical concepts for business stakeholders
  • Project management capabilities, 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

Nice to have

  • 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 other highly regulated industries
  • Multilingual capabilities to support global operations

Soft skills

Analytical, detail-oriented thinkingCommunicating technical concepts to business audiencesChange management, influencing without authority

What we offer

  • Supportive, future-focused team
  • Opportunities to grow your career, at home or internationally
  • Thoughtful, competitive rewards package
  • Wide range of health and wellbeing benefits, at least 14 weeks' gender-neutral parental leave

About the company

Sanofi is a global healthcare company driven by one purpose: chasing the miracles of science to improve people's lives.

Education: Alapdiploma adatmenedzsment, informatikai rendszerek, üzleti adminisztráció vagy kapcsolódó területen

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