Data Cleansing Program Director

Role Summary

Leads the Government-Wide data cleansing program, driving large-scale data quality uplift across government entities. Oversees cleansing activities, enterprise data model, and dataset publication, ensuring high-quality, trusted data while enabling ongoing monitoring, governance, and improvement of data quality across entities.

•      Define and lead the Government-Wide data cleansing strategy, ensuring alignment with data quality standards, policies, and government priorities.

•      Establish a structured framework to prioritize critical datasets and enable phased execution across entities.

•      Standardize, automate, and scale the end-to-end data cleansing lifecycle, leveraging advanced tools and AI-driven solutions, and governing reusable accelerators.

•      Establish and oversee a multi-vendor delivery model for data cleansing, ensuring coordinated execution, performance management, and scalability across entities.

•      Oversee large-scale data quality improvement initiatives, ensuring alignment with defined quality dimensions, rules, and thresholds.

•      Oversee the development of government entities' enterprise data models, ensuring alignment with Government Wide data standards, central government information models, and interoperability requirements.

•      Ensure the creation, standardization, and publication of cleansed datasets into the Government Wide data catalog and sharing platforms, enabling accessibility and reuse across entities.

•      Oversee development of data quality dashboards to track KPIs and cleansing progress.

•      Establish and lead program governance bodies to ensure timely and quality delivery, drive issue resolution and ensure stakeholder alignment.

•      Establish and govern sustainable data quality and cleansing frameworks to ensure long-term maintenance and continuous improvement.

•      Provide regular reporting to senior leadership on program progress, risks, and impact on data maturity and value realization.

•      Bachelor's or Master's degree in Data Management, IT, Engineering, or related field.

•      20+ years of experience in data management, data quality, or large-scale transformation programs, preferably in Europe or North America.

•      Proven experience leading enterprise-wide or national data cleansing/data quality initiatives, including multi-vendor delivery models.

•      Strong expertise in data quality frameworks, profiling, and remediation techniques.

•      Familiarity with modern data platforms (e.g., Informatica, Azure, Databricks, Snowflake, or similar).

•      Experience managing large vendor ecosystems and complex, multi-stakeholder programs.

•      Strong leadership and stakeholder management skills at senior government or enterprise level.