Data Quality Lead - Banking - Data Governance

About the Role

Nair Systems LLC seeks an experienced Data Quality Lead to bolster its data governance operations in Doha, Qatar. This role focuses on leading initiatives to enforce data quality standards within the banking sector, alongside regulatory compliance endeavors.

Qualifications & Experience

• Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related fields.
• 8 to 12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or similar sectors.
• Demonstrated background in banking, financial services, or other regulated industries.
• Thorough understanding of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.
• Proficiency with Data Governance and Data Quality tools such as Informatica, Collibra, Microsoft Purview, ABACUS, or comparable platforms.

Core Responsibilities

• Design, implement and enhance the Data Quality Framework, defining standards, procedures, methodologies, and governance models to safeguard data integrity.
• Formulate enterprise-wide data quality principles, controls, KPIs, KRIs, scorecards, and develop comprehensive reporting mechanisms.
• Ensure synchronization with overarching Data Governance Frameworks, Data Management Policies, and regulatory mandates, particularly QCB compliance.
• Define and monitor rules addressing accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity of data.
• Supervise data quality metrics for Critical Data Elements across various organizational domains through dashboards and reports.
• Drive Enterprise Data Quality Issue Management processes including detection, impact evaluation, root cause analysis, remediation oversight, and validation of closure.
• Maintain and govern Data Quality Issue registers, challengingly assessing remediation strategies from Data Owners, Stewards, and IT teams.
• Escalate critical data quality risks and unresolved matters to appropriate committees ensuring timely resolutions.
• Coordinate data quality controls in the context of regulatory, financial, risk, compliance, and management reporting; support regulatory audits and examinations.
• Champion data quality standards for AI, advanced analytics, and machine learning data, collaborating closely with AI Governance to manage risks throughout AI data lifecycle.
• Engage with stakeholders across Data Ownership, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to foster data quality enhancements and stewardship.
• Lead governance forums and working groups to drive initiatives that uplift data quality maturity and accountability throughout the organization.

Additional Information

Preferred joining period is within two weeks, with a maximum allowable timeframe of one month.