About The Job

The Skills, Tasks, and Job Architecture Data Classification Partner is a newly created, strategically critical individual contributor role and has been established in direct response to one of Sanofi's most urgent and high-priority strategic imperatives: the integration of skills and tasks data into the Data Foundation within the upcoming year in support of Sanofi's skills-based organisation transformation. This role is the designer of enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains and owns the governance infrastructure that makes the data trustworthy and AI-ready.Location: Barcelona, SpainKey Responsibilities

Data Governance Framework Design & Ownership

Design the enterprise data governance frameworks, standards, and data quality rules for the Skills, Tasks, and Job Architecture domains ensuring it serves business outcomesTranslate governance decisions and policy updates into usable, consistent, and actionable data assets across the Skills, Tasks, and Job Architecture domainsDocument and maintain approved data definitions and data quality rules for Skills, Tasks, and Job Architecture dataEnsure the data catalogue is complete, accurate, and continuously up to date —including definitions, ownership, lineage, sensitivity classification, and data quality rulesClassify data assets including sensitivity classification, ensuring full compliance with governance and regulatory requirementsManage data sharing agreements for all cross-domain data exchanges involving Skills, Tasks, and Job Architecture dataEnsure Job Architecture data consistency and alignment across global regions and functionsData Quality Campaign Design & Governance

Design and run the data quality check framework across source systems and the Data Foundation — defining rules, ownership, review cycles, and escalation pathsDerive and drive proactive data quality campaigns across Skills, Tasks, and Job Architecture data domains — identifying patterns of poor data quality, designing targeted remediation campaigns,



and coordinating with team members to execute them at scaleInvestigate root causes of systemic data issues across Workday — diagnosing structural problems and translating findings into corrective governance actions and campaign-based remediation effortsMonitor data quality trends over time, using insights to continuously improve data quality rules, checks, and governance standardsData Foundation Enablement & Technical Governance

Enable Skills, Tasks, and Job Architecture data for the Data Foundation, serving as the key SME to the Data Foundation team within the assigned scopeEnsure data consistency, lineage and traceability from source systems through to the Data FoundationOwn the SkyHive interface on the technical lineage and data catalog side: maintain data lineage documentation for the Workday-to-SkyHive data feed, ensure SkyHive data assets are cataloged in Informatica CDGC, and govern the technical data sharing agreement for the SkyHive integrationSupport AI and analytics initiatives through proper data classification and standardizationEnsure data governance frameworks are in place to support current and future AI usage of Skills, Tasks, and Job Architecture dataBuild knowledge content on data governance and classification for AI initiatives and employees across the organizationWorkday Configuration Analysis & Root Cause Analysis

Analyse local Workday rules, validations, and configurations that impact integral standardisation efforts for Skills, Tasks, and Job Architecture dataIdentify where local configurations block the cloning or deployment of global standard configurationsSeparate genuine legal and compliance constraints from legacy or preference-based local rules to enable informed global standardization decisionsDomain Expertise & Stakeholder Engagement

Serve as the key global point of contact for data governance, data classification, and data catalog matters across Skills, Tasks,



and Job Architecture dataPartner to drive adoption of global data standards across all regions and functionsTrain and support Local Data Champions across regions and business unitsSupport Data & Insights Team and analysts on relevant data matters to enable trusted reporting and analyticsCollaborate with the Digital Team on data configuration matters, providing expertise on data-related aspects and ensuring alignment between system configurations and data governance standardsAbout You

Required Qualifications

Bachelor's degree in Data Science, Information Technology, HR Analytics, Business Analytics, or a related fieldStrong understanding of Workday architecture, configurations, and data structures5+ years of experience in data management, HR analytics, or analytical rolesKnowledge of data governance tools and methodologies, data lineage, data cataloging, and metadata management practicesFamiliarity with data quality assessment and remediation techniquesUnderstanding of regulatory compliance requirements (GDPR, data privacy, etc.)Excellent analytical and problem-solving skills with attention to detailStrong communication skills with ability to translate technical concepts for business stakeholdersProject management capabilities with experience leading cross-functional initiativesPreferred Qualifications

Workday certification in HCM, Financial Management, or related modulesExperience with data governance frameworks (DAMA-DMBOK, DCAM, etc.)Knowledge of AI/ML data requirements and data preparation processesExperience in pharmaceutical, healthcare, or highly regulated industriesChange management skills and ability to influence without direct authorityGlobal mindset with understanding of regional compliance and business requirementsExperience with the SkyHive skills intelligence platformExperience working with Data Foundation / Snowflake environmentsExperience with the Cornerstone learning and talent management platformStrong hands-on experience with Skills, Jobs, Tasks, and Job Architecture data domainsStrong experience with Job Architecture data structures, taxonomies, and governance#BarcelonaHub #SanofiHubs

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📌 Data Classification, Standards and Definitions Partner — Job Architecture & Skills (Madrid)
🏢 Sanofi
📍 Madrid