Location: Budapest
Hybrid working
About the job
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 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 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
Why choose us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave.
Join an Award-Winning Team at Sanofi Budapest Hub!
Be part of something exceptional. Our Budapest Hub has been recognized for workplace excellence, innovation, and our commitment to putting people first.
Office of the Year 2025 – Evolution Award
Our most recent award – Sanofi is recognized for creating an innovative workspace that supports collaboration and adaptability.
Marketing Diamond Award 2026 – Employer Branding
One of the highest honours at Hungary's prestigious Marketing Diamond Awards, recognizing excellence in employer branding.
BSC Investor of the Year 2025
Awarded by HIPA, ABSL Hungary, and AmCham Hungary for our contribution to Hungary's business services sector.
PwC Workforce Preference Survey 2025 – Top 3 Most Attractive Employers
Ranked 3rd among the most attractive employers in Hungary.
Hungarian Employer Branding Awards 2025 – Gold & Silver
Best Strategic Employer Branding Campaign (Gold) and Best Employer Branding Campaign in the Pharma Sector (Silver).
#Sanofi #WeNeverSettle #PursueProgress #DiscoverExtraordinary #SanofiCareers #joinSanofi #jobopportunities #careeropportunities #sscjob #Sanofi_Budapest_Hub #Budapest #LI-Hybrid #LI-EUR
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :Ft9 120 000,00 - Ft13 680 000,00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
Skills Required
- 3-5 years experience in data quality, data governance, HR data management, or related analytical role
- Experience with Workday HCM or comparable enterprise HR platforms
- Workday certification or formal Workday training
- Proven track record conducting data investigations and delivering structured findings
- Experience in a global, matrixed organization with cross-functional stakeholders
- Proficiency in Excel and Power Query, and SQL (or equivalent) for data analysis
- Experience with Workday reporting, calculated fields, and data auditing capabilities
- Familiarity with data remediation processes, including mass data loads and EIB
- Understanding of HR data domains (employee records, org structures, compensation, payroll inputs, workforce reporting)
- Exposure to AI/ML data readiness concepts and impact of data quality on models
- Experience with data quality platforms or monitoring tools (Informatica, Collibra, Ataccama, or similar)
- Experience with scripting or automation for data validation (Python, Power Automate, or equivalent)
- Knowledge of GDPR and data privacy regulations relevant to HR data
- Degree in Information Systems, Data Management, HR, Business Administration, or related field
- Strong analytical, communication, and interpersonal skills for stakeholder engagement
Sanofi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.
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Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
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Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
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Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.
Sanofi Insights
What We Do
We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms





