VP, Enterprise Data Hub

Date:  Jun 22, 2026
Location: 

Singapore

Office Location:  Capital Square, Singapore

Job Responsibilities

Data Hub Delivery & Onboarding

  • Execute data onboarding into the Data Hub across multiple domains and countries in line with defined standards and roadmap
  • Support ingestion (Bronze) and curation (Silver) processes to ensure data is structured for downstream consumption
  • Work with source system teams and engineers to coordinate onboarding activities end-to-end

 Data Integration, Lineage & Metadata

  • Support implementation of data integration standards, including data mapping, transformation, and validation
  • Contribute to metadata management, data lineage, and data dictionary development using enterprise tooling
  • Ensure data is traceable, well-documented, and aligned to governance and platform standards

 Data Quality & Governance Support

  • Support the implementation of data quality controls, monitoring, and issue remediation processes
  • Ensure adherence to data governance policies, standards, and regulatory requirements (e.g. BCBS239)
  • Work with Data Governance teams to operationalise lineage, metadata, and stewardship processes

 Programme Delivery & Coordination

  • Support delivery of Data Hub initiatives across business, technology, and governance stakeholders
  • Track progress, dependencies, and risks; support preparation of updates and reporting
  • Ensure alignment to delivery plans, standards, and timelines

 Stakeholder Engagement & Collaboration

  • Work closely with business, data, and technology stakeholders to support onboarding and adoption of Data Hub capabilities
  • Provide guidance on data standards, onboarding requirements, and data usage
  • Collaborate with regional and global teams to ensure consistency in data practices

 Job Requirements

Qualifications & Experience

  • 6–12 years of experience in data management, data engineering, or data platform delivery
  • Experience supporting Data Hub, Lakehouse, or enterprise data platform initiatives
  • Understanding of data integration, data modelling, metadata, lineage, and data quality concepts
  • Familiarity with Databricks, Azure Data Platform, Unity Catalog, Collibra or similar tools
  • Experience working in cross-functional, multi-country environments
  • Exposure to regulatory data requirements (e.g. BCBS239) is advantageous
  • Strong delivery mindset with ability to execute against defined plans
  • Good communication skills across business and technical stakeholders
  • Detail-oriented and structured in approach to data and documentation
  • Collaborative team player who can work across multiple stakeholders and priorities