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Director, Data Strategy and Transformation

Director, Data Strategy and Transformation

charterhouse partnership asia
15-17 Years
Early Applicant
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

Seeking a seasoned Director, Data Strategy & Transformation, responsible for defining and executing the enterprise-wide data strategy, ensuring seamless integration between data lake & data marts to support business needs across APAC.

Responsibilities

  • Define, implement the data strategy, ensuring alignment with global data governance frameworks and business objectives.
  • Partner with business stakeholders & technology 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.
  • 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.
  • Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.
  • Over 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).
  • Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

If you hold experience in driving Data Strategy & Transformation, within financial services technology, do reach me at [Confidential Information] for a discussion.

EA License no: 16S8066 | Reg no.: R1657935

Only successful candidates will be notified.

More Info

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Key Skills

DAMA-DMBOK

physical data modelling

data integration techniques

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