Data Quality Specialist

Job Description Roles & Responsibilities Design, implement, and operate data quality controls across the Dubai Registers Program. The role sits at the intersection of data governance, master data management (MDM), and registry operations, ensuring trusted data for individuals, businesses, and assets meets defined quality thresholds before and after publication through Register-as-a-Service (RaaS) APIs. Design and implement data quality rules across individual, business, and asset registers in accordance with DAMA-DMBOK2 methodology and ISO 8000 standards, including threshold definition, severity levels, and automated remediation mechanisms. Conduct systematic data profiling of source systems feeding the registers and document baseline measurements prior to migration activities based on the program's first-phase outcomes. Translate business requirements from Data Owners and Data Stewards into executable data quality rules covering all quality dimensions according to DAMA methodology: Accuracy Completeness Consistency Timeliness Uniqueness Validity Integrity Operate automated data quality monitoring systems covering at least 90% of critical datasets and prepare dashboards and periodic KPIs for reporting to the Data Governance Committee. Manage the complete lifecycle of data quality issues, including detection, classification, assignment, resolution, and closure, while maintaining at least 95% compliance with Service Level Agreements (SLAs). Lead root-cause analysis of recurring issues and coordinate with technical data stewards within consuming entities to address failures in source systems. Support data stewards across government entities in understanding and implementing quality standards through structured training programs and awareness sessions. Verify the creation of Golden Records within the MDM platform according to matching and survivorship rules before publishing data through APIs. Document data lineage for all assessed datasets to achieve 100% coverage and ensure audit and compliance readiness. Contribute to developing the Business Glossary and continuously update the Data Quality Rules Register while aligning it with the program’s strategic objectives. Prepare monthly data quality reports for the Steering Committee and monitor the Data Trust Index. Organizational and Supervisory Responsibility Reporting Relationships No direct supervisory responsibility. Works as a specialist within the Data Management team. Internal Communications Data Stewards for Individuals, Businesses, and Assets domains. Technical Data Stewards. Registry and Integration Team. Infrastructure and Engineering Teams (technical and operational). External Communications Limited. Work Independence Recommended Level: Work is performed according to approved plans, programs, and standards with a high degree of independence. The direct supervisor is kept informed of progress, while major matters require approval. Job Complexity Recommended Level: Highly varied and complex work requiring strong analytical capabilities to overcome challenges and problems. May include preparing work plans, conducting studies, and performing research. Desired Candidate Profile Education Bachelor’s Degree in: Computer Science Information Management Data Engineering Experience Total Experience: 5–7 years Relevant Experience: 4–6 years Supervisory Experience: Not Applicable Professional Certifications, Training, and Experience Data Quality Specialist with a minimum of 5 years of overall experience. Experience in data cleansing and ensuring data integrity. Data Quality expertise. Master Data Management (MDM). Metadata Management. Behavioral and Leadership Competencies Competency Required Level Analytical and Critical Thinking Advanced Effective Stakeholder Communication Advanced Accountability and Ownership Advanced Accuracy and Attention to Detail Advanced Cross-functional Teamwork Advanced Continuous Improvement and Innovation Intermediate Technical Competencies Competency Required Level Data Quality Rule Design and Remediation Advanced Data Analysis, Assessment, and Processing Advanced Data Quality and Master Data Management (MDM) Advanced Metadata Change Management Advanced SQL and Exploratory Analysis Techniques Advanced Data Quality Tools (Collibra, Informatica, Ataccama) Advanced Data Classification Advanced Data Processing and Analysis Advanced Employment Type Full Time Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data QualityMaster Data ManagementMetadataSQL Get real-time job updates only on our App