Data Governance, Data Quality, Data Management- 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)