ABHIJIT CHATTERJEE

• Designed and implemented Master Data Management framework including enterprise data models by aligning ERP and CRM datasets, enabling standardized definitions and cross-system consistency. • Coordinated with Legal, Data Security, and Compliance teams to map PII data and define data sensitivity classifications in line with GDPR requirements. • Translated business use cases into conceptual and logical data models in collaboration with business and product teams. • Led the selection and deployment of Data tools, defining KPIs, governance requirements, and onboarding strategy for metadata, glossary, and lineage. • Partnered with technical teams to migrate datasets, integrate data models, and operationalize metadata governance processes.

• Defined and implemented data governance framework with multi-disciplinary teams across the Netherlands, Belgium, Germany and France reduced governance gaps by 30% and improved maturity scores by 40%. • Designed target operating models to clarify roles between Data Owners, Stewards, and business teams. • Designed and implemented conceptual & logical data models to harmonize data fields, standardize business language, semantics, glossary across teams, ensuring data integrity and regulatory adherence. • Deployed Collibra Data Catalog and Data Hub in collaboration with IT to centralize data models, glossary, metadata, achieving 35% reduction in data duplication and 25% improvement in quality scores. • Implemented data lineage tracking for regulatory reporting (Basel III, IFRS9), enhancing traceability and auditability across Finance and Risk domains. • Mentored junior consultants, facilitating knowledge sharing and best practices.

• Led a data mapping initiative to align source systems, data models, and reporting layers, ensuring consistent definitions and traceability across BI tools. • Improved business intelligence reliability by embedding data governance principles (ownership, quality rules, and lineage) into reporting and analytics workflows. • Collaborated with business, risk, and finance teams to understand reporting requirements and translate them into governed datasets and KPIs. • Established metadata documentation and lineage mapping to support transparency between source systems and BI consumption layers. • Enabled faster and more reliable decision-making by reducing data discrepancies and improving reporting turnaround times.

• Designed and implemented enterprise data governance framework, improving regulatory compliance (Basel, IFRS9) and enabling more accurate portfolio-level risk reporting. • Spearheaded master data management (MDM) initiative, enhancing data accuracy and consistency across 3 core systems reduced reporting discrepancies by 40%. • Built risk data models that improved credit decision accuracy by 18%, strengthening risk appetite alignment and loan underwriting quality. • Collaborated with C-suite on data strategy roadmap, resulting in improved governance maturity and adoption across business units. • Led & mentored multiple teams.

• Delivered a data-driven risk management program improving SME portfolio monitoring efficiency by 25%. • Implemented data lineage mapping for credit risk reporting, ensuring full traceability and regulatory compliance (Basel, IFRS9). • Developed credit analytics dashboards to track exposure, delinquency, and credit performance, enabling faster decision-making. • Collaborated with IT and Compliance teams to strengthen data control frameworks for credit risk and regulatory submissions. • Automated loan risk data ingestion pipelines, enhancing consistency and traceability of business-critical datasets. • Designed and managed KPI dashboards that enhanced transparency and supported management decisions. • Led & mentored the performance of teams.