Summary
Aaron Cooley is a data and analytics leader with nine years in advanced analytics roles and a 20+-year career blending strategy, finance, and machine learning across fintech and consumer finance. He has led large teams and built cloud-first decisioning and medallion data platforms that cut ML time-to-production from months to days and delivered measurable portfolio gains—e.g., a 40% approvals lift while reducing charge-offs on a $150M card portfolio and $50M+ annualized cashflow improvement. Known for applying rigorous experiment design, MLOps, and model governance at scale, he has driven end-to-end decision automation for thousands of retail locations and productionized TensorFlow and Spark solutions on terabyte-scale data. At Cohere he now leads data analytics strategy, bringing a product-minded approach to turning models into business decisions. His background in consulting and corporate finance gives him uncommon fluency translating technical risk models into board-level financial impact. Based in Utah, he combines a measured, evidence-first mindset with a knack for speeding delivery through engineering and organizational change.
9 years of coding experience
10 years of employment as a software developer
MBA, Emphases in Strategy and Finance, MBA, Emphases in Strategy and Finance at University of Michigan - Stephen M. Ross School of Business
Special Exchange Program, Japanese Language and Culture, Special Exchange Program, Japanese Language and Culture at University of Tsukuba
Bachelor of Science, Management (Entrepreneurship emphasis), Japanese (dual degree), Bachelor of Science, Management (Entrepreneurship emphasis), Japanese (dual degree) at Brigham Young University
Japanese, Chinese, Portuguese, French, Spanish, Korean, English