Toa Payoh - Data Quality Manager

In this role, you will lead the design and implementation of data quality rules and controls, focusing on Risk, Finance, Compliance, and Regulatory Reporting domains. You will be responsible for driving the operationalization of data quality management using tools, ensuring compliance with banking regulatory standards like BCBS 239.

• Implement data governance policies, standards, and procedures aligned with relevant regulatory frameworks such as BCBS 239.
• Work collaboratively with Risk, Finance, Compliance, and Regulatory Reporting teams to identify and address data quality gaps.
• Conduct training sessions on data quality policies and the use of data quality tools.
• Design and deploy functional data quality rules covering domains including risk metrics, finance (e.g., general ledger controls, reconciliation), compliance, and regulatory reporting.
• Partner with various teams to implement data quality rules that support key metrics for regulatory reports and specific business use cases.
• Ensure data quality and lineage for risk aggregation and reporting according to regulatory requirements.
• Coordinate with teams managing regulatory reporting systems to integrate data quality results into Collibra.
• Oversee Collibra DQ Issue Management workflows including root cause analysis, remediation plans, and closure tracking.
• Integrate Collibra with platforms such as Azure Data Lake, Alteryx, and regulatory reporting tools to capture and display data quality results.
• Develop dashboards within Collibra for tracking data quality scores, regulatory compliance, and exceptions.
• Configure and maintain Collibra data quality rules, workflows, and scorecards, aligning them with business glossaries and data dictionaries.
• Build end-to-end data lineage views within Collibra to connect regulatory reports back to source systems.

• Bachelor’s degree in Computer Science, Finance, Data Management, or a related field.
• Relevant professional certifications such as CDMP, Collibra Ranger, DGSP, or CIMP are preferred.
• 2 to 8 years of experience in data quality, data governance, or data management roles within the financial services or banking sector.
• Strong knowledge of banking regulatory frameworks including BCBS 239 and other regional reporting requirements in APAC.
• Demonstrated experience designing data quality rules across risk, finance, compliance, and regulatory reporting domains.
• Experience collaborating with Risk, Finance, Regulatory Reporting, and Audit teams to identify and resolve data quality issues.
• Proven hands-on experience with the Collibra Data Intelligence Platform, including expertise in developing custom and out-of-the-box DQ rules, managing Collibra workflows for issue tracking, and handling metadata and lineage would be an advantage.
• Familiarity with SQL, Python, or Alteryx to support data quality rule execution and integration.
• Proven experience integrating Collibra with Azure Data Platform, regulatory reporting solutions, and risk management tools.
• Strong analytical, documentation, and communication skills with a collaborative approach to working across teams.