Summary
James Herbick is a data science leader and PhD student in computer science based in Chicago, with a decade of experience turning analytics into enterprise value across life sciences, healthcare, and financial services. As Director of Data Science at Optum, he led a 15-member global matrix team and managed an analytic portfolio of up to 15 predictive models spanning supervised, unsupervised, and NLP. He transformed the Waste & Error product from a rules-based approach to a big data, cloud-based ML platform, driving annual savings from $600M to $1.1B within three years and a 10% year-over-year revenue increase. Earlier roles include Sr. Data Scientist at OptumRx and Analytics Advisory Manager at EY, where he supported high-profile PBM analytics and multi-million-dollar programs for life sciences clients. His education includes an MBA in MIS from DePaul, an MS in Predictive Analytics from Northwestern, and a PhD in CS at DePaul, with research focusing on security and the intersection of databases and AI. Based in Chicago, he combines academic rigor with pragmatic, production-ready analytics leadership to translate complex data problems into scalable solutions.
11 years of coding experience