Director, Data Strategy

3 weeks ago

Singapore Sumitomo Mitsui Banking Corporation Full time
Responsibilities
  • Define and implement the data strategy, ensuring alignment with global data governance frameworks and business objectives.
  • Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
  • Design scalable data architectures, enabling efficient data integration from multiple regional sources into a unified enterprise data lake.
  • 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.
  • Guide the 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 lineage diagrams for regulatory, audit, and business usage.
  • Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
  • Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.
Job Requirements
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master\'s degree preferred.
  • 15+ years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
  • Deep knowledge of data governance (DAMA-DMBOK), data modelling, and metadata management.
  • Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
  • Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
  • Advanced SQL skills and strong ability to work with large, complex financial datasets.
  • Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
  • Strong understanding of regulatory compliance in the APAC region.
  • Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
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