AVP / VP, Data Quality Manager

• Implement data governance policies, standards, and procedures aligned with regulatory requirements (e.g., BCBS 239).
• Work closely with Risk, Finance, Compliance, and Regulatory Reporting teams to address data quality gaps 
• Conduct training sessions on data quality policies and tooling. 
• Design and Implement DQ Rules: Develop functional Data Quality (DQ) rules for Risk, Finance, Compliance, and Regulatory Reporting domains. 
• This includes rules for Risk Metrics, Finance (General ledger controls, reconciliation rules etc), compliance, Regulatory Reporting etc. 
• Regulatory Reporting Focus: 
• Collaborate with various teams in the bank to implement DQ rules that address key metrics for regulatory reports/ specific use cases. 
• Ensure data quality and lineage for risk aggregation and risk reporting as per BCBS 239 requirements
• Work with teams managing Regulatory Reporting Solutions and workflows to ingest DQ results into Collibra.
• Implement Collibra DQ Issue Management workflows, including root cause analysis, remediation actions, and tracking closures.
• Integrate Collibra with Azure Data Lake, Alteryx, and Vermeg to capture and display DQ results.
• Develop dashboards within Collibra for DQ scores, regulatory compliance tracking, and exception management.
• Configure and manage Collibra DQ Rules, Workflows, and Scorecards, integrating them with the Business Glossary and Data Dictionary.
• Develop end-to-end data lineage using Collibra, connecting regulatory reports to source systems.

Job Requirements

• Bachelor's/University degree in Computer Science, Finance, or Data Management.
• Professional certifications such as CDMP, Collibra Ranger, DGSP, CIMP are 
• 6 to 8 years in Data Quality, Data Governance, or Data Management roles within the banking or financial services industry.
• Strong understanding of banking regulatory requirements, including BCBS 239, and other regional regulatory reporting requirements in APAC
• Proven experience with data quality rules design in various domains (risk, finance, compliance, regulatory reporting)
• Experience engaging with Risk, Finance, Regulatory Reporting, and Audit stakeholders to define and resolve DQ issues.
• 3 years of experience with the Collibra Data Intelligence Platform, with expertise in Collibra DQ Rule Development (custom and out-of-the-box rules), Collibra Workflow Management (DQ issue workflows and approvals), Metadata and Lineage Management using Collibra
• Collibra DQ Scorecard Development
• Knowledge of SQL, Python, or Alteryx to support DQ rule execution and integration.
• Experience integrating Collibra with Azure Data Platform, Vermeg Regulatory Reporting Solution, Moodys Risk Confidence solution. 
• Strong analytical, documentation, and communication skills with a collaborative mindset.