Data Steward

As a leading player in the insurance market, this organization is accelerating its digital transformation toward a fully data-driven approach. Data lies at the heart of the strategy: improving services, optimizing risk management, and enabling a more personalized and efficient customer experience. To support this mission, we're looking for a Data Steward for the Employee Benefits & Health Care domains, within the Data Solutions & Intelligence / Data Management teams. You will drive data governance and ensure data quality in close collaboration with Data, Methodology, IT, and Business teams. What you will doLead and safeguard data quality

• Define and monitor data quality KPIs (completeness, consistency, accuracy, uniqueness).
• Implement control processes and workflows to detect and correct anomalies.
• Automate validation rules, alerts, and exception handling.

Strengthen data governance

• Develop and maintain data reference systems and their documentation.
• Ensure alignment with internal policies (Data Management, Security/GDPR) and industry standards (Solvency II, IFRS).
• Contribute to building a shared data catalog including a data dictionary, business glossary, and quality procedures.

Optimize and industrialize data flows

• Support data modeling and the integration of internal and external data sources.
• Improve and standardize functional and development data pipelines with a focus on quality and robustness.
• Work with tools such as Informatica, Python, SQL, Spark, and more.

Collaborate across teams

• Promote data governance best practices and raise awareness within Methodology and Business teams.
• Act as a bridge between Data Analysts, Data Engineers, Data Scientists, Methodology, and Business stakeholders.
• Help build a shared data language and data-driven culture.

• Master's degree in a quantitative field (statistics, mathematics, computer science, economics, …).
• Experience in data management, data quality, or data governance, preferably in a financial or insurance context.

Technical skills

• Governance & quality tools: Informatica, Talend Data Stewardship, Alation, Collibra
• Analytics & visualization: Power BI, Tableau
• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, CosmosDB)
• ETL & processing: Azure Data Factory, DBT, Databricks, SAS
• Languages: SQL, Python, PySpark

Soft skills

• Strong analytical mindset, accuracy, and critical thinking.
• Autonomous, creative, and solution-oriented in a dynamic environment.
• Excellent communication and collaboration skills.
• Professional proficiency in French and/or Dutch, and English.
• Experience managing data quality or data robustness projects is a strong asset.