Assistant Vice President - Data Governance.MGN Pak - TECH - Data Management.MIT-MGNPAK

1. Data Quality Strategy & Governance

• Define and implement data quality policies, standards, and procedures aligned with the bank’s data governance framework.

• Collaborate with business and technology teams to define critical data elements (CDEs) and establish data quality rules.

• Drive data quality improvement initiatives across retail, corporate, international, treasury business areas and support and control functions.

• Ensure compliance with regulatory requirements and industry best practices for data quality.

2. Data Quality Monitoring & Issue Management

• Design and implement data quality measurement frameworks, including key data quality metrics (accuracy, completeness, timeliness, consistency, and validity).

• Lead the development of data quality dashboards and reports to track data quality trends and issues.

• Identify, assess, and remediate data quality issues through root cause analysis and corrective action plans.

• Work with technology teams to implement automated data quality controls and monitoring solutions.

3. Stakeholder Engagement & Collaboration

• Act as a subject matter expert (SME) for data quality across business functions, risk, finance, compliance, and technology teams.

• Partner with data stewards, data owners, and data engineers to enforce data quality standards.

• Support business teams in embedding data quality requirements into operational processes.

• Conduct training and awareness sessions on data quality best practices.

4. Technology & Automation

• Collaborate with technology teams to integrate data quality tools into the bank’s data architecture.

• Leverage AI/ML-driven data quality solutions to enhance data profiling and anomaly detection.

• Evaluate and recommend new data quality tools and technologies.