Sanofi
Biopharmaceutical
DigitalFinanceProductOwner
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Digital Finance Product Owner at Sanofi. Skills: Data modeling, Data architecture, Data warehousing, Business intelligence. Guide Data Engineers in building data models. Organize and optimize data models”
Industry & Context.
Analytical; Problem-solving
What They're Looking For.
Must Have
Bachelor's degree or equivalent in Computer Science, Engineering, Data Modeling, or a related field, Proven experience in data warehouse modeling and optimization, Solid knowledge of relational and non-relational databases, data architecture, and SQL, Understanding of Data Warehouse concepts: Kimball and Inmon methodologies, SQL skills and knowledge of both relational and non-relational database technologies
Nice to Have
PhD preferred, Cloud-based data platforms experience, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification
What You'll Do.
Guide Data Engineers in building data models
Organize and optimize data models
Analyze and translate business requirements
Partner with business teams to gather requirements
Collaborate with stakeholders to design and build database
Implement data strategies
Develop physical data models
Manage and optimize local and metadata models
Define data cleaning requirements
Oversee data cleaning processes
Assess data security needs
Implement data security solutions
Apply coding best practices
Handle historical data requirements
How You'll Work.
Team & Collaboration
Cross-functional teams; Data stewards; Data engineers; Data scientists; Fellow Data Modelers; Data Architects
Communication Scope
Convey technical concepts
Process & Methodology
Agile, Scrum
Full Job Description
**Digital Finance Product Owner** * _Location: Budapest_ **About the Job** Better is out there. Better data. Better insights. Better outcomes for patients around the world. And it's all down to people like you. Sanofi is an R&D-driven, AI-powered biopharmaceutical company committed to chasing the miracles of science to improve people's lives. Across more than 100 countries, we are scaling AI across every part of our value chain — accelerating the journey from discovery to delivery. Data is at the heart of this transformation, and our Digital People & Culture (P&C) team is at the forefront of it. As a **digital finance product owner** within the Digital P&C team, you will design and maintain the data architecture that powers our People analytics and HR insights at a global scale. You will translate complex business needs into robust, high-performance data models — enabling smarter, faster, and more impactful decisions that touch millions of lives. This is your opportunity to **Play to Win** in a team that is data-obsessed, globally minded, and driven by purpose. **Main Responsibilities** • Guide Data Engineers in building data models designed for Data Warehouse/Lake environments, handling high-volume data for analytics use • Organize and optimize data models to improve performance and simplify end-to-end KPI calculation • Analyze and translate business requirements into scalable, long-term data model solutions • Partner with business teams to gather requirements for database design and modeling • Collaborate with stakeholders — data stewards, data engineers, and data scientists — to design and build database models fit for analysis • Implement data strategies and develop physical data models • Manage and optimize local and metadata models on an ongoing basis • Define and oversee data cleaning requirements and processes • Assess data security needs and implement appropriate security solutions • Apply and champion coding best practices set by the enterprise Digital tea
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