Assistant Vice President

Job Purpose

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.

Key result Areas

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.

Knowledge, Skills and Experience

The ideal candidate will demonstrate deep knowledge and a proven track record in the following areas:

• Extensive experience in data-related projects or programs, with strong expertise in metadata management and data governance implementation.
• Practical experience in implementing data management standards (e.g., DAMA) within a banking environment.
• Strong understanding of data governance policies, standards, metrics, controls, and processes.
• Knowledge of legal, compliance, and regulatory issues impacting data, including geographic restrictions on data storage and data centers.
• Experience in identifying data assets, defining data ownership, and establishing usage and access control policies.
• Proficiency in data domain discovery, data classification, taxonomy, and hierarchies that support data catalog architecture.
• Ability to create or enhance business glossaries by working with business analysts and stakeholders to define clear, business-relevant terms.
• In-depth understanding of designing and developing data catalogs (e.g., Microsoft Purview) to inventory data assets and enable data discovery through unified search.
• Experience in integrating and maintaining data dictionaries, business glossaries, and data catalogs.
• Ability to facilitate metadata capture as part of change and operational deliverables.
• Hands-on experience with Informatica Data Governance tools (e.g., EDC, Axon, DEQ), including planning and managing tool implementation projects.
• Experience in running data governance committees and effectively communicating the value and impact of data governance to business stakeholders through demos and presentations.