Data Quality Control Management

As a Data Quality (DQ) Manager you will be responsible for developing implementing and maintaining data quality standards rules and controls primarily across Risk Finance Compliance and Regulatory Reporting functions within the APAC region. The role focuses on operationalizing data quality management using Collibra Data Intelligence Platform (DIP) and Collibra DQ while ensuring compliance with banking regulatory frameworks such as BCBS 239.

You will work closely with Data Owners Data Stewards Risk Officers Finance teams Compliance functions and Regulatory Reporting teams to identify and resolve data quality issues and establish effective DQ controls for regulatory and business-critical reporting.

• Implement and maintain data governance and data quality policies standards and procedures ensuring alignment with regulatory requirements such as BCBS 239 and applicable global and regional policies.
• Partner with Risk Finance Compliance and Regulatory Reporting teams to identify investigate and remediate data quality issues and gaps.
• Conduct training and awareness sessions on data quality policies standards processes and supporting tools. Engage stakeholders to define review agree upon and maintain data quality standards.
• Design implement and maintain Data Quality (DQ) rules controls and thresholds for Risk Finance Compliance and Regulatory Reporting functions across APAC.
• Develop functional DQ controls covering areas such as:
• Risk metrics and risk reporting
• General Ledger controls
• Financial reconciliations
• Compliance data
• Regulatory reporting requirements
• Critical data elements and key reporting attributes
• Collaborate with business and technology teams to establish DQ rules for critical regulatory reports risk metrics and business use cases.
• Ensure appropriate data quality traceability and lineage for risk aggregation and risk reporting in accordance with BCBS 239 principles.
• Work with teams responsible for Regulatory Reporting platforms solutions and workflows to embed DQ controls into Collibra DQ and other existing data quality tools.
• Support the integration of Collibra with platforms such as Azure Data Lake Alteryx and Vermeg to collect monitor and present data quality results.
• Develop and maintain data quality dashboards and reporting mechanisms to monitor DQ scores regulatory compliance data quality exceptions and remediation progress.
• Configure and administer Collibra DQ rules workflows scorecards and monitoring processes.
• Support the integration of Collibra DQ with the Collibra Data Intelligence Platform (DIP) Business Glossary and Data Dictionary to establish consistent data definitions ownership lineage and quality controls.
• Drive continuous improvement of the organizations data quality framework ensuring that critical data is accurate complete consistent timely valid and fit for regulatory and business purposes.