Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
Provide data architecture documentation, data dictionaries, and linea...