Financial Information Management (FIM) & Data Engineering Manager

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
About the Department
The Finance and Corporate Services function manages the financial and administrative needs of the Group to help achieve its business goals.
Overview of the Role
Lead Finance systems production support and data enablement to ensure accurate, timely, and well governed financial data for management, performance, and regulatory reporting. The role combines FIM operational excellence (SLA, SOP, controls) with data engineering to build robust pipelines across Data Warehouse and Hadoop platforms that strengthen Finance architecture and governance.
Job Responsibilities
A. Financial Information Management (Primary)
• Ensure timely and accurate service delivery to Finance stakeholders in line with SLAs.
• Maintain and govern system configuration; ensure SOPs are current, comprehensive, and adhered to.
• Triage and resolve production issues, incidents, and user queries; drive root cause analysis and preventive fixes.
• Translate Finance needs into functional requirements and support UAT (test plan, scripts, execution, sign off).
• Liaise with Technology and vendors to implement enhancements and ensure compliance with Finance and regulatory standards.
• Identify and implement process and control improvements to reduce risk and improve cycle time and data quality.
B. Data Engineering (Secondary but critical)
• Design, build, and maintain data pipelines (ETL/ELT) for Finance datasets across traditional Data Warehouse and Hadoop (Spark, Hive) platforms.
• Optimize data storage, query performance, and reliability for Finance reporting and regulatory submissions.
• Implement data quality checks, reconciliation controls, and lineage aligned to Enterprise Data Governance.
• Partner with Analytics/Reporting teams to provision well modeled, governed datasets for dashboards and regulatory templates.