Drive software quality through code reviews, automated testing, and test coverage improvements using tools such as JUnit, Cucumber, Cypress, and similar frameworks.
Automation, Digitalisation & Data (ADD): Support the evaluation and implementation of AI-driven invoice capture, Intelligent Document Processing (IDP) and Robotic Process Automation (RPA), in line with the Bank's technology architecture and standards. Use data and analytics to improve spend visibility, exception management and performance tracking.
Track and monitor technology projects and initiatives to meet compliance requirements, including Key Risk Indicators and Control Self-Assessment as part of the technology governance framework