Coordinate the planning and delivery of organisation-wide AI programmes and initiatives, ensuring they are aligned with organisational priorities and achieve intended outcomes.
Design, build, deploy, manage and maintain end-to-end data processes, data products and related solutions such as AI/ML models and simulation models; on a variety of data platforms on the Government Commercial Cloud as well as on-premise setups;
Support regional advertising measurement projects across branding and performance use cases, working closely with COE members and cross-functional partners
Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
4-year bachelor’s degree from an accredited university in Business Administration, Data Analytics, Computer Science, Economics, Statistics, Mathematics, or another quantitative discipline.
Select and develop outstanding global talent with both back-office and front-office perspectives, for in-depth exploration in sales and operational analysis. Opportunity to complete rotation between data and sales roles within 12 months, building versatile business strategy experts.
Govern and maintain the bank’s enterprise Power BI platform, including Power BI Service, Microsoft Fabric capacity, workspaces, gateways, access controls, and platform standards.