Vice President, Data Analytics, Group Wholesale Banking

UOB; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

1011 United Overseas Bank Ltd, branded as UOB, is seeking a Senior Data Platform & Analytics Engineer to lead the end-to-end design and delivery of enterprise data platforms across markets in a collaborative setting.

You will partner with analysts, risk, governance and technology teams to ensure scalable data foundations, strong governance, and practical data engineering practices, while mentoring colleagues to raise engineering standards.

Qualifications

• 8–12+ years of experience in data engineering or analytics engineering.
• Experience in enterprise-scale data platform projects (EDW, datamarts, data lakes).
• Strong SQL, data modelling and ETL/ELT performance optimization knowledge.
• Experience in multi-stakeholder delivery with Technology, Business and Analytics teams.

Responsibilities

• Participate in end-to-end build and evolution of enterprise-scale GWB data platforms.
• Contribute to data modelling standards, transformation logic and reusable patterns.
• Collaborate with Data Analysts, Business, Technology and Data Governance to enable self-service analytics.
• Support governance, regulatory readiness and cross-border data use with clear documentation.

Skills

SQL

Data Modelling

ETL/ELT

Data Platform

Analytics Engineering

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

Be a Part of the UOB Family

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.