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

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 where local configurations block the cloning or deployment of global standard configurations

Separate genuine legal and compliance constraints from legacy or preference-based local rules to enable informed global standardisation decisions

Domain 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 data

Partner to drive adoption of global data standards across all regions and functions

Train and support Local Data Champions across regions and business units

Support Data & Insights Team and analysts on relevant data matters to enable trusted reporting and analytics

Collaborate with the Digital Team on data configuration matters, providing expertise on data-related aspects and ensuring alignment between system configurations and data governance standards

About you

Required Qualifications

Bachelor's degree in Data Science, Information Technology, HR Analytics, Business Analytics, or a related field

Strong understanding of Workday architecture, configurations, and data structures

5+ years of experience in data management, HR analytics, or analytical roles

Knowledge of data governance tools and methodologies, 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 with ability to translate technical concepts for business stakeholders

Project management capabilities with experience leading cross-functional initiatives

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

Change management skills and ability to influence without direct authority

Global mindset with understanding of regional compliance and business requirements

Experience with the SkyHive skills intelligence platform

Experience working with Data Foundation / Snowflake environments

Experience with the Cornerstone learning and talent management platform

Strong hands-on experience with Skills, Jobs, Tasks, and Job Architecture data domains

Strong experience with Job Architecture data structures, taxonomies, and governance

Pursue progress , discover extraordinary

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