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Data Classification, Standards & Definitions Partner

Sanofi -
Barcelona, Barcelona provincia

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Detalles del empleo

Hace 4 horas

Cualificaciones

Estructura de datos
Project management
Grado
Administración y dirección de empresas
Requisitos comerciales
Habilidades de comunicación
Workday

Descripción completa del empleo

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.

Key Responsibilities

Data Standards & Governance

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

Data Classification & Management

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

Workday Data Analysis & Optimization

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

Data Foundation Enablement

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

Training & Knowledge Management

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

Required Qualifications

Education & Experience

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

Technical Skills

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.)

Core Competencies

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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Data Classification, Standards & Definitions Partner

Key Responsibilities

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Workday Data Analysis & Optimization

Data Foundation Enablement

Training & Knowledge Management

Required Qualifications

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Core Competencies

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