Develop, implement and maintain data quality frameworks, policies, standards and procedures, covering data validation, cleansing, mapping, metadata management, and data lifecycle management. careers.dib.ae+2GulfTalent+2
Monitor, audit, and validate data across systems (databases, warehouses, pipelines), including running SQL queries / QA checks to detect errors, inconsistencies, duplicates, missing values, incorrect formats, or invalid entries. Halian+2LinkedIn+2
Perform data profiling and data audits, continually assessing the state of data quality across domains (customer data, risk/finance data, product data, etc.), and identify areas needing remediation/cleanup or improvement.
Develop and monitor Data Quality KPIs / dashboards / reports, track SLA breaches or data issues, document incidents, corrective actions, remediation status, and report to relevant stakeholders or management.
Collaborate with cross-functional teams (IT, BI/data engineering, business units, data governance / stewardship teams) to ensure data quality standards are embedded in data ingestion, integration, and business workflows.