Expert of Data Quality & Monitoring

About the Role

The Insurance Authority in Riyadh, Saudi Arabia, is seeking an Expert of Data Quality & Monitoring. This full-time role is critical for ensuring the accuracy and reliability of data across the Authority's systems. The position involves establishing robust data quality validation frameworks, monitoring data integrity, and leading the development of reference data and metadata systems.

Role Purpose and Impact

This role plays a significant part in supporting regulatory compliance, business continuity, and the operational effectiveness of the Insurance Data Hub. The Expert of Data Quality & Monitoring will ensure that all data-related procedural and legislative requirements are met, contributing to high-quality and cost-effective results.

Key Responsibilities

• Develop and implement automated data validation processes to identify and prevent data errors, inconsistencies, and missing records.
• Define and monitor data quality metrics, thresholds, and KPIs through dashboards and reports.
• Collaborate with Data Engineering & Storage teams to resolve data integrity issues at the storage level.
• Escalate persistent or high-risk data quality issues to Governance, Risk, and Compliance (GRC) and relevant business units, especially when regulatory reporting is impacted.
• Establish real-time monitoring systems to detect data anomalies, unauthorized changes, and discrepancies, implementing alerting mechanisms for critical data quality breaches.
• Coordinate with IT and analytics functions to ensure clean, verified datasets are available for operational and strategic use.
• Contribute to crisis management efforts by validating datasets and facilitating rollbacks to trusted data sources when needed.
• Identify and document root causes of recurring data quality issues affecting reporting or supervisory accuracy.
• Align data quality policies and practices with frameworks defined by the Data Governance Office.
• Support audit readiness and regulatory compliance by maintaining validated datasets and documentation.
• Maintain up-to-date documentation of data validation rules, historical issues, quality thresholds, and resolution actions.

Reference and Master Data Management

• Lead the development and implementation of a strategic approach to reference and master data management.
• Define and maintain standards, governance policies, and lifecycle procedures for key data domains.
• Ensure the integration of reference and master data across systems, including the Insurance Data Hub.
• Collaborate with internal stakeholders to harmonize and institutionalize RMD practices.

Metadata and Data Cataloging

• Design and execute metadata frameworks to document, organize, and classify data assets within the Insurance Data Hub.
• Build and maintain a comprehensive data catalog that improves data discoverability, transparency, and reuse.
• Work with technical and business teams to ensure metadata remains up-to-date and aligned with evolving data assets and systems.

Experience Required

Candidates should possess 2-5 years of relevant experience in data quality, data monitoring, or related fields.