Data Quality Lead

VAM Systems Inc.; Doha; On-site; QAR 360,000 - 540,000; Full time

Job summary

VAM Systems Inc. in Doha seeks a senior data quality governance expert to lead the Data Quality Framework, oversight and regulatory reporting initiatives across banking and risk domains.

You will define principles, KPIs, and controls, monitor CDE quality, and coordinate with risk, compliance, and IT teams, advancing data quality maturity and AI data quality readiness.

Qualifications

• Bachelor's degree in Information Management, Computer Science, Data Analytics, or related field.
• 8–12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.
• Experience in banking, financial services, or other highly regulated industries is required.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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

Skills

Data governance

Data quality

Data management

Regulatory reporting

Risk data management

Banking domain knowledge

Education

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

Tools

Informatica

Collibra

Microsoft Purview

ABACUS

Job description

Data Quality Governance amp FrameworkDevelop

• 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 amp 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 amp 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 amp 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 amp 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 EngagementPartner

• 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

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.