Job Opportunities API

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. Key Responsibilities •      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. Key Qualifications •      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.