Data Quality and AI Readiness Product Analyst

Eacademy Sanofi; Barcelona; Presencial; EUR 42.000 - 64.000; Jornada completa

Descripción de la vacante

Sanofi in Barcelona seeks a Data Quality and AI Readiness Product Analyst to safeguard global HR data quality, governance, and readiness for AI-driven initiatives. You will bridge data operations with HR technology and drive proactive risk management across processes and systems.

The role emphasizes Workday data concepts, structured investigations, and collaboration with global teams to ensure data integrity for operational decisions and advanced analytics.

Formación

• Experience with data quality governance and HR data management is required.
• Strong knowledge of Workday data structures and reporting is valued.
• Experience using data validation and remediation techniques.

Responsabilidades

• Assess downstream impact of data quality issues across payroll, reporting, and AI model inputs.
• Perform root cause analyses to distinguish isolated errors from systemic issues.
• Collaborate with GPO and Workday teams to implement fixes and governance updates.
• Translate business data quality needs into technical specifications.
• Execute data corrections and remediation loads in line with governance standards.
• Monitor adoption of global HR data standards across regions and units.
• Detect deviations and potential risks to data consistency and AI readiness.
• Support data standardization initiatives through investigations and profiling.
• Design and maintain automated data validation routines and anomaly detection.
• Produce structured investigation outputs: Issue → Root Cause → Risk → Recommendation.

Conocimientos

Data quality

Data governance

SQL

Excel/Power Query

Python

GDPR compliance

AI readiness

Analytical thinking

Educación

Degree in Information Systems or Data Management

Herramientas

Workday HCM

Workday reporting

EIB

Informatica

Collibra

Power Automate

Descripción del empleo

Data Quality and AI Readiness Product Analyst

• Location: 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 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 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 you

• 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