Data Quality And Ai Readiness Product Analyst

Data Quality and AI Readiness Product AnalystLocation: Barcelona, Spain Are you passionate about data integrity, governance, and enabling the next generation of AI-driven capabilities?Join Sanofi in one of our corporate functions and play a pivotal role in safeguarding the quality, consistency, and reliability of global Human Capital data.As a Data Quality and AI Readiness Product Analyst within Data Governance & Master Data Management, you will sit at the intersection of data governance, Human Capital technology, and process excellence - driving proactive risk management, resolving global data issues, and ensuring our data is ready to power both operational decisions and AI-driven innovation.We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives.We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible.Ready to get started?Main ResponsibilitiesAssess 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 between isolated data errors and 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, whether through process redesign, system configuration changes, or governance policy updates 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 that undermine global data consistency Identify and elevate 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 data quality checks Produce clear, structured investigation outputs following a consistent framework:Issue ? Root Cause ? Risk ? Recommendation About you3-5 years of experience in data quality, data governance, HR data management, or a related analytical role Demonstrated experience working with Workday HCM or comparable enterprise HR platforms (Workday certification or formal training highly valued) 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 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, or similar) Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes Knowledge of GDPR, data privacy regulations, and their implications for HR data management Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field#J-*****-Ljbffr

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 comparable enterprise HR platforms (Workday certification or formal training highly valued) 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 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, or similar) Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes Knowledge of GDPR, data privacy regulations, and their implications for HR data management Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field #J-*****-Ljbffr