Location:

Brussels (with two days remote work per week)

Join a dynamic hybrid environment that combines the agility of a scale-up with the stability of a large corporate group. The Data Manager – Quality & Governance will have a pivotal role across business and technical domains to ensure the accuracy, completeness, and strategic use of data.

• Guarantee data accuracy, completeness, and usability for all business stakeholders.
• Collaborate with Product teams to define and implement data-driven functionalities that add tangible business value.
• Work alongside technical teams to industrialize data use cases, streamline processes, and optimize operational workflow.
• Act as the central reference for company data knowledge, promoting data literacy and alignment across the organization.
• Define rules for data structure and usage based on business needs and technical constraints, ensuring scalable and reliable data management.
• Analyze and explore data sets to uncover actionable insights that support strategic business decisions.
• Identify and manage evolving data requirements for operational use, while coordinating integration of new data sources as needed.
• Contribute to data governance by helping define data-related roles, maintaining up-to-date documentation, and ensuring robust control over key data assets.
• Perform ongoing data quality checks, detect anomalies, and communicate updates or corrections throughout relevant teams.
• Manage relationships with internal and external data providers to ensure data delivery is consistently aligned with business objectives.
• Develop and maintain a comprehensive data quality framework that upholds high standards of accuracy and compliance.
• Support the operational monitoring of the data platform to ensure reliability and availability of critical data services.
• Play an active role in data modeling in line with best practices for modern data warehouse architecture.

Expected Technical and Domain Expertise:

• Solid background in data analysis, data governance principles, and business intelligence.
• Technical proficiency in Python, PySpark, SQL, and ideally Databricks.
• Experience with team collaboration and project coordination in cross-functional initiatives.
• Practical understanding of data structuring, quality, and documentation processes.
• Familiarity with retail industry data management challenges is valued.
• Fluent communication in English is essential; strong proficiency in French is highly desirable.