Data Quality Manager

Main mission

Measures, monitors, and continuously improves data quality.

5 key responsibilities

• Define quality indicators: completeness, accuracy, freshness, consistency.
• Implement automated controls and alerts.
• Lead remediation of anomalies with source teams.
• Publish quality dashboards by domain.
• Embed quality in data creation processes.

Key skills

Data quality tools, SQL, process management, persistence.

What's expected

Measured, visible, and continuously improving quality: trust in the numbers is built here.

Career paths

Data Governance Manager, Deputy CDO, Head of Data Quality.