Data Quality, Data Management, Data Governance - Banking

VAM Systems Inc; Doha; On-site; QAR 250,000 - 400,000; Full time

Job summary

VAM Systems Inc. seeks a Data Quality Lead for its Qatar operations. The role focuses on data governance, quality frameworks and regulatory data quality across banking clients.

You will oversee data quality rules, dashboards, and issue remediation with collaboration across risk, compliance, finance and IT. Ideal candidates bring extensive experience in data quality management, governance and metadata. This senior position is based in Doha with a strong emphasis on regulatory alignment and

Qualifications

• Bachelor's degree in information management, CS, data analytics or related field.
• 8–12 years in data governance, data quality, data management or regulatory reporting.
• Experience in banking or highly regulated industries preferred.
• Knowledge of data quality, governance, lineage, metadata, reference and master data management.
• Experience with Informatica, Collibra, Purview or similar platforms.

Responsibilities

• Establish data quality governance and framework across the organization.
• Define KPIs, KRIs, scorecards, reporting requirements and operating model.
• Oversee data quality rules for accuracy, completeness, timeliness and integrity.
• Monitor data quality performance via dashboards and management reports.
• Lead data quality issue management including root cause and remediation.
• Coordinate with risk, compliance, finance and business units on regulatory data quality.
• Support AI initiatives ensuring data quality standards.

Skills

Data Quality Management

Data Governance

Data Lineage

Metadata Management

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, Data Management, Data Governance - Banking

• Full-time

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.
• 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.