Data Quality Lead

Nair Systems is currently looking for Data Quality Lead for our Qatar operations

Qualifications & Experience

• Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.

• 8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.

• Experience within banking, financial services, or other highly regulated industries is required.

• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.

• Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions.

Key Responsibilities

• Data Quality Governance & Framework

• Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.

• Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.

• Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.

• Data Quality Oversight & Monitoring

• Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.

• Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.

• Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.

• Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.

• Data Issue Management & Escalation

• Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.

• Maintain Enterprise Data Quality Issue management register

• Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.

• Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.

• Regulatory Reporting & Risk Data Quality

• Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.

• Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.

• Support regulatory examinations, audits, and data-related reviews.

• Data & AI Enablement

• Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.

• Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.

• Support the implementation of data quality controls throughout the data and AI lifecycle.

• Stakeholder Engagement

• Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.

• Promote data quality awareness, accountability, and stewardship across the Group.

• Facilitate working groups and governance forums focused on data quality improvement initiatives.

Joining time frame: 2 weeks (maximum 1 month)

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest at