Data Quality, Data Management, Data Governance - Banking

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)