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