Vice President, Data Analytics, Group Wholesale Banking

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

1011 United Overseas Bank Ltd in Singapore seeks an experienced Data Platform & Analytics Engineer to contribute to enterprise‑scale data platforms, datamarts and analytics layers across multiple markets. You will partner with technology, analytics and business teams to enable governed self‑service analytics while ensuring data quality, traceability and regulatory compliance.

Ideal candidates have 8–12+ years in data engineering within banking or regulated environments, deep SQL/data modeling,

Job description

Company: 1011 United Overseas Bank Ltd

About UOB United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.

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 cross‑border data use. Support internal audits, model validation and regulatory reviews through clear documentation, traceability and explainability of data pipelines and transformations.

4. People & Capability Contribution

Contribute to raising engineering standards and good data practices within the GWB Data Analytics team through reviews, knowledge sharing and mentoring. Review designs, code and delivery approaches, helping teammates develop platform‑level thinking rather than ad‑hoc solutions.

Required Experience & Qualifications

Essential

8–12+ years of experience in data engineering, data platform or analytics engineering roles, preferably within banking or large regulated environments. Hands‑on experience participating in enterprise‑scale data platform or datamart implementations (EDW, Datamarts, Data Lakes), from requirements through to UAT and production. Strong 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. Strongly Preferred 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.

Personal Attributes

Strong sense of ownership with a delivery‑oriented and methodical approach Comfortable operating across business discussions and hands‑on technical work Clear and practical communicator able to bridge business, analytics and engineering Calm, dependable and constructive under delivery pressure Sound ethics and governance mindset suited to a regulated institution

Additional Requirements

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.

Career Site: UOB Career site