Data Steward - Visser & Van Baars

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 do

Lead 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.

   

Your profile

Education & experience

• 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.