Sumitomo Mitsui Banking Corporation Hiring! Full Time VP, Enterprise Data Hub in - Ricebowl

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