Data Cleansing Program Director

The Data Cleansing Program Director leads the Government-Wide data cleansing program — driving large-scale data quality uplift across multiple government entities. You will own the cleansing strategy, orchestrate a multi-vendor delivery model, oversee enterprise data modelling, and ensure that cleansed datasets are published into the Government-Wide catalogue and sharing platforms — sustainably, with strong governance, ongoing monitoring, and continuous improvement.

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

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

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

•      Establish and oversee a multi-vendor delivery model — coordinated execution, performance management, and scalability across entities.

•      Oversee large-scale data quality improvement initiatives aligned to defined quality dimensions, rules, and thresholds.

•      Oversee development of entities' enterprise data models — aligned with Government-Wide data standards, central information models, and interoperability requirements.

•      Ensure creation, standardization, and publication of cleansed datasets into the Government-Wide data catalogue and sharing platforms — enabling accessibility and reuse.

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

•      Establish and lead program governance bodies — driving timely, quality delivery, issue resolution, and stakeholder alignment.

•      Establish and govern sustainable data quality and cleansing frameworks for 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 in Data Management, IT, Engineering, or related field.

•      20+ years in data management, data quality, or large-scale transformation programs (preferably with exposure in Europe or North America).

•      Proven track record 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 — Informatica, Azure, Databricks, Snowflake, or similar.

•      Demonstrated experience managing large vendor ecosystems and complex multi-stakeholder programs.

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

•      Excellent English communication; Arabic a plus.