Data Cleansing Program Director

Description

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.

Requirements

• 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.