Job Title: Data Quality & AI Readiness Product Analyst
Job Location: Hyderabad Hub
Job Type: Fulltime/Permanent

About the Job

As a Data Quality & AI Readiness Product Analyst within the MDM Jobs/Skills Taxonomy team — part of Data Governance & Master Data Management — you will sit at the intersection of data governance, Human Capital technology, and process excellence. You will be a critical enabler of Sanofi's enterprise-wide skills-based organization initiative, ensuring that the skills and jobs data powering Workday's Skills Cloud, Career Hub, and AI-driven talent matching is trusted, complete, and AI-ready.

You will drive proactive risk management, resolve global data quality issues, and ensure our Human Capital data meets Sanofi's AI-Ready Data Framework standards — making it fit to power both operational decisions and the AI-driven innovation that underpins our mission to chase the miracles of science.

Main responsibilities

1. Investigation & Diagnosis




- Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs
- Monitor ongoing adoption of global data standards across regions, business units, and functional teams, with particular focus on Skills and Job Architecture taxonomy data consistency in Workday — proactively detecting and flagging the re-introduction of local deviations, non-standard values, or workarounds
- Conduct structured root cause analyses to distinguish isolated errors from systemic issues requiring process or configuration-level intervention
- Use Python scripting and SQL to conduct deep-dive data profiling and root cause investigations across Workday and Snowflake data assets
- Build reusable investigation toolkits and diagnostic scripts to accelerate root cause analysis and reduce time-to-resolution across recurring issue patterns
- Support organizational cloning and data standardization initiat

📌 Data Quality (Hyderabad)
🏢 Sanofi
📍 Hyderabad