AVP / VP, Data Quality Manager

4 weeks ago


Singapore Sumitomo Mitsui Banking Corporation Full time
Overview
  • 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 8years 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.
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