Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Develop feature engineering pipelines and index construction systems supporting e-commerce recommendation model training and search relevance optimization
Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
You will lead high-level data partnerships with key agencies including PA, SportSG, AIC/AAC, NParks, LTA, MOH policy and technical teams, and regional health clusters, securing data sharing agreements and consent frameworks that enable trusted, scalable data flows across the ecosystem. You will translate high-level policy and organisational requirements into clear strategic technical directions for the team, ensuring outputs remain aligned with evolving business and programme needs.
Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.