Responsibilities

• 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...