Data Governance and AI Ethics Case Study:
Enterprise-Wide Data Governance Transformation for a Global Investment Bank
Executive Summary
SentinelX Digital’s experts enabled a leading global investment bank to achieve unified, enterprise-wide data governance aligned with regulatory mandates such as BCBS 239 and GDPR. The engagement focused on standardizing data definitions, strengthening lineage visibility, and integrating data quality and compliance controls across multiple jurisdictions.
Business Challenge
The client’s fragmented data ecosystem, spread across multiple business units and geographies, lacked a single source of truth. Inconsistent metadata standards and manual compliance checks increased the risk of regulatory non-adherence and reporting delays. The absence of a unified governance operating model also limited scalability for advanced analytics and AI adoption.
SentinelX Approach
SentinelX Digital’s consultants designed a multi-layered data governance framework combining policy, process, and technology alignment. Key initiatives included:
- Implementing a central metadata repository using Collibra and Informatica for lineage and stewardship.
- Defining data ownership models and governance roles across risk, finance, and compliance functions.
- Automating data quality monitoring and remediation workflows across business domains.
- Integrating regulatory mappings (GDPR, BCBS 239) into enterprise data catalogs for audit readiness.
This transformation was delivered through a hybrid agile model, ensuring rapid adoption across business lines while maintaining global compliance coverage.
Outcomes & Impact
- Achieved 99% compliance readiness for BCBS 239 and GDPR within 12 months.
- Reduced manual data quality efforts by 40% through automation and stewardship workflows.
- Improved data lineage visibility across 4,000+ critical data elements.
- Established a scalable governance operating model, enabling future AI readiness and self-service analytics.
Disclaimer
This case study represents SentinelX Digital’s methodologies and delivery expertise in enterprise data governance, regulatory alignment, and compliance transformation. All data is anonymized, and performance metrics are representative of outcomes typically achieved in similar BFSI governance programs.