UOB
Banking
VicePresident,DataAnalytics,GroupWholesaleBanking
Neural analysis suggests this role is
optimal for Senior candidates.
“Vice President, Data Analytics, Group Wholesale Banking at UOB. Skills: enterprise-scale GWB data platforms, data modelling standards, transformation logic, reusable engineering patterns, governed self-service analytics, advanced analytics initiatives, data foundations, data access controls, country restrictions, governance approvals, regulatory requirements, data pipelines, transformations, engineering standards, good data practices. Participate in the end‑to‑end build and evolution of enterpri”
Industry & Context.
performance optimisation concepts
What They're Looking For.
Must Have
8–12 + years of experience in data engineering, data platform or analytics engineering roles, Hands-on experience participating in enterprise-scale data platform or datamart implementations (EDW, Datamarts, Data Lakes), from requirements through to UAT and production, working knowledge of SQL, data modelling, ETL / ELT frameworks, and performance optimisation concepts, Experience working in multi-stakeholder delivery environments, collaborating with Technology, Business and Analytics teams
Nice to Have
Exposure to Wholesale Banking, Credit, Trade, Liquidity, Risk or Finance data domains, Experience working with self-service BI ecosystems, layered data architectures and governed analytics platforms, Familiarity with data governance, audit considerations and regulatory data controls in a banking environment, Prior experience acting as a technical lead, workstream lead, or senior individual contributor
What You'll Do.
Participate in the end‑to‑end build and evolution of enterprise‑scale GWB data platforms
including datamarts and analytics layers
Contribute to data modelling standards
transformation logic and reusable engineering patterns
Work closely with Data Analysts / Scientists
Business stakeholders
Technology and Data Governance teams to enable governed self‑service analytics and downstream use cases
Support advanced analytics initiatives (e.g. risk assurance
GenAI‑enabled analytics) by helping ensure reliable
well‑structured and well‑documented data foundations
Provide technical input and practical perspectives to analytics leadership on feasibility
sequencing and implementation considerations
Ensure data engineering deliverables adhere to data access controls
governance approvals and regulatory requirements
particularly for cross‑border data use
Support internal audits
model validation and regulatory reviews through clear documentation
traceability and explainability of data pipelines and transformations
Contribute to raising engineering standards and good data practices within the GWB Data Analytics team through reviews
knowledge sharing and mentoring
code and delivery approaches
helping teammates develop platform‑level thinking rather than ad‑hoc solutions
How You'll Work.
Team & Collaboration
in close collaboration with key Technology and delivery partners; Work closely with Data Analysts / Scientists, Business stakeholders, Technology and Data Governance teams; Experience working in multi‑stakeholder delivery environments, collaborating with Technology, Business and Analytics teams
Communication Scope
Clear and practical communicator able to bridge business, analytics and engineering
Process & Methodology
technical lead, workstream lead
Full Job Description
**About UOB** United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. **Job Description** # ## 1\. Data Platform & Architecture (Collaborative Delivery) * Participate in the **end‑to‑end build and evolution of enterprise‑scale GWB data platforms** , including datamarts and analytics layers, **in close collaboration with key Technology and delivery partners**. * Contribute to **data modelling standards, transformation logic and reusable engineering patterns** , ensuring scalability, performance and consistency across countries and products. ## 2\. Analytics Enablement & Business Partnership * Work closely with **Data Analysts / Scientists, Business stakeholders, Technology and Data Governance** teams to enable governed self‑service analytics and downstream use cases. * Support advanced analytics initiatives (e.g. risk assurance, early warning, monetisation, GenAI‑enabled analytics) by helping ensure **reliable, well‑structured and well‑documented data foundations**. * Provide **technical input and practical perspectives** to analytics leadership on feasibility, dependencies, sequencing and implementation considerations. ## 3\. Governance, Risk & Regulatory Readiness * Ensure data engineering deliverables adhere to **data access controls, country restrictions, governance approvals and regulatory requirements** , particularly for cros
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