VP, Enterprise Data Hub

The Japan Research Institute, Limited (Singapore Branch); Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

The Japan Research Institute, Limited (Singapore Branch) invites a seasoned data platform professional to lead Data Hub onboarding across multiple domains and countries. You will ensure data is ingested, curated, and aligned with governance standards while coordinating with cross-functional teams.

Ideal candidates have extensive experience in data management and engineering, with familiarity in Databricks, Azure Data Platform, and metadata tools.

Qualifications

• 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, 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 good stakeholder communication.

Responsibilities

• Execute data onboarding into the Data Hub across multiple domains and countries.
• Support ingestion and curation processes to ensure data is structured for downstream consumption.
• Coordinate onboarding activities end-to-end with source system teams and engineers.
• Support implementation of data integration standards, including mapping, transformation, and validation.
• Contribute to metadata management, data lineage, and data dictionary development.
• Ensure data is traceable, well-documented, and aligned to governance and platform standards.
• Track progress, dependencies, and risks; support updates and reporting.
• Engage with business, data, and technology stakeholders to drive onboarding and adoption.

Skills

Data management

Data engineering

Data platform delivery

Cross-country collaboration

Regulatory data knowledge

Communication with stakeholders

Attention to detail

Documentation

Tools

Databricks

Azure Data Platform

Unity Catalog

Collibra

Job description

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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
• 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