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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.
Stack
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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