Vice President, Data Analytics, Group Wholesale Banking

About the role

UOB is looking for a Vice President, Data Analytics for its Group Wholesale Banking (GWB) function. The role leads the end-to-end build and evolution of enterprise-scale GWB data platforms, including datamarts and analytics layers, and works closely with Technology and delivery partners.

Key responsibilities

• Build and evolve enterprise-scale GWB data platforms, including datamarts and analytics layers, with Technology and delivery partners
• Contribute to data modelling standards, transformation logic and reusable engineering patterns, ensuring scalability, performance and consistency across countries and products
• Enable governed self-service analytics with Data Analysts / Scientists, Business stakeholders, Technology and Data Governance teams, and support advanced analytics such as risk assurance, early warning, monetisation and GenAI-enabled analytics
• Give technical input to analytics leadership on feasibility, dependencies, sequencing and implementation
• Ensure data engineering deliverables comply with data access controls, country restrictions, governance approvals and regulatory requirements, especially for cross-border data use
• Support internal audits, model validation and regulatory reviews through documented, traceable and explainable data pipelines
• Raise engineering standards and good data practices through reviews, knowledge sharing and mentoring, and review designs, code and delivery approaches

Required profile

• 8-12+ years of experience in data engineering, data platform or analytics engineering roles, preferably in banking or large regulated environments
• Hands-on experience in enterprise-scale data platform or datamart implementations (EDW, datamarts, data lakes), from requirements through to UAT and production
• Experience in multi-stakeholder delivery with Technology, Business and Analytics teams
• Strongly preferred: exposure to wholesale banking, credit, trade, liquidity, risk or finance data; self-service BI ecosystems and governed analytics platforms; data governance and regulatory data controls; prior technical lead or senior individual contributor experience

Required skills

• SQL
• Data modelling
• ETL / ELT frameworks
• Performance optimisation concepts