Job description

Job Description

We are 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)