Summary
Peng Jiang is a Senior Manager in People Analytics based in Sydney with 10 years of experience building AI systems that turn HR and business data into strategic decisions. He leads delivery of responsible, production-grade AI across HR—owning cloud and MLOps stacks (AWS, Azure, H2O.ai, Microsoft Power Platform) while embedding AI risk and governance. His background spans banking analytics and pricing roles at Westpac and RACQ, where he delivered forecasting, behaviour modelling and automation that unlocked revenue and productivity gains. PhD-trained in machine learning for risk and reliability, he combines rigorous research pedigree with hands-on delivery of models and dashboards for executive decision-making. Notably, he has progressed from technical research and pricing analytics into shaping enterprise AI capability and culture at major Australian financial institutions.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning in Risk and Reliability Analysis, Doctor of Philosophy (PhD), Machine Learning in Risk and Reliability Analysis at University of New South Wales
Master's degree, Materials Physics and Chemistry, High Distinction, Master's degree, Materials Physics and Chemistry, High Distinction at Harbin Institute of Technology
Bachelor's degree, ENGINEERING, High Distinction, Bachelor's degree, ENGINEERING, High Distinction at Xiangtan University