Data Classification, Standards and Definitions Partner - Job Architecture & Skills

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About the role

Job Title: Data Classification, Standards and Definitions Partner - Job Architecture & Skills Job Type: Permanent/Fulltime Job Location: Hyderabad Hub 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 organization 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. Key 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 outcomes • Translate governance decisions and policy updates into usable, consistent, and actionable data assets across the Skills, Tasks, and Job Architecture domains • Document and maintain approved data definitions and data quality rules for Skills, Tasks, and Job Architecture data • Ensure the data catalogue is complete, accurate, and continuously up to date —including definitions, ownership, lineage, sensitivity classification, and data quality rules • Classify data assets including sensitivity classification, ensuring full compliance with governance and regulatory requirements • Manage data sharing agreements for all cross-domain data exchanges involving Skills, Tasks, and Job Architecture data • Ensure Job Architecture data consistency and alignment across global regions and functions Data 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 paths • Derive 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 scale • Investigate root causes of systemic data issues across Workday — diagnosing structural problems and translating findings into corrective governance actions and campaign-based remediation efforts • Monitor data quality trends over time, using insights to continuously improve data quality rules, checks, and governance standards Data 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 scope • Ensure data consistency, lineage and traceability from source systems through to the Data Foundation • Own 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 integration • Support AI and analytics initiatives through proper data classification and standardization • Ensure data governance frameworks are in place to support current and future AI usage of Skills, Tasks, and Job Architecture data • Build knowledge content on data governance and classification for AI initiatives and employees across the organisation Workday Configuration Analysis & Root Cause Analysis • Analyse local Workday rules, validations, and configurations that impact global standardisation efforts for Skills, Tasks, and Job Architecture data • Identify w

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