Data Quality and AI Readiness Product Analyst

Stack

Responsibilities

• ▹Assess and document the downstream impact of data quality issues across payroll processing, management reporting, third-party integrations and AI/machine learning model inputs
• ▹Conduct structured root cause analyses to distinguish isolated data errors from systemic issues requiring process or configuration-level intervention
• ▹Partner closely with the Global Process Owner (GPO) and Workday Technology teams to define and implement structural fixes
• ▹Serve as a bridge between data operations and technical teams, translating business data quality requirements into actionable technical specifications
• ▹Prepare, validate and execute data correction actions and remediation loads in compliance with data governance standards and change management protocols
• ▹Monitor the ongoing adoption of global HR data standards across regions, business units and functional teams
• ▹Proactively detect and flag the re-introduction of local deviations, non-standard values or workarounds
• ▹Identify and escalate risks to data consistency, AI readiness and global reporting accuracy at the earliest possible stage
• ▹Support organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering and data profiling
• ▹Design, build and maintain automated data validation routines and anomaly detection scripts to reduce reliance on manual checks
• ▹Produce clear, structured investigation outputs following a consistent framework: Issue, Root Cause, Risk, Recommendation

Requirements

• ▹3-5 years of experience in data quality, data governance, HR data management or a related analytical role
• ▹Demonstrated experience working with Workday HCM or a comparable enterprise HR platform
• ▹Proven track record of conducting data investigations and delivering structured, actionable findings
• ▹Experience working in a global, matrixed organization with cross-functional stakeholders
• ▹Proficiency in data analysis tools such as Excel/Power Query, SQL or equivalent
• ▹Experience with Workday reporting, calculated fields and data auditing capabilities
• ▹Familiarity with data remediation processes, including mass data loads and EIB (Enterprise Interface Builder) or equivalent
• ▹Understanding of HR data domains: employee records, organizational structures, compensation, payroll inputs and workforce reporting
• ▹Degree in Information Systems, Data Management, Human Resources, Business Administration or a related field

Nice to have

• ▹Workday certification or formal Workday training
• ▹Exposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance
• ▹Experience with data quality platforms or monitoring tools (e.g. Informatica, Collibra, Ataccama)
• ▹Experience with scripting or automation for data validation (e.g. Python, Power Automate)
• ▹Knowledge of GDPR and data privacy regulations and their implications for HR data management

Soft skills

What we offer

• ▹Thoughtful, well-crafted rewards package
• ▹Wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
• ▹At least 14 weeks' gender-neutral parental leave
• ▹Opportunities to grow your career through promotion or lateral moves, at home or internationally
• ▹Hybrid working

About the company

Sanofi is an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. The role sits within its corporate functions at the award-winning Budapest Hub.