VP, Data Science
AT&T Chief Data Office
Dr. Austin currently manages a team of ~250 Data Science and developers in the Chief Data Office applying AI, machine learning and automation with applications across many areas of the company such as Fraud, Field Operations, Consumer, Security, Supply Chain, and Corporate functions. His team has developed innovative solutions for large scale routing problems, implemented closed loop AI classification systems and recommendation engines, operationalized computer vision, and improved process and people productivity by deploying an operating >3,000 BOTS company-wide.
With 29 years of experience, Austin has also held a variety of leadership and staff roles in running technology planning operations across South Florida, Puerto Rico and the Southeast.
Dr. Austin has chaired various industry technical standards committees, is the co-author on 5 books, has published more than 20 reviewed technical papers, been granted over 100 patents, and is on a number of advisory boards in academia. He holds a bachelor’s degree in electrical engineering from the University of Maryland (summa cum laude), a doctor of philosophy degree in electrical engineering from Georgia Tech and is the recipient of the Sigma Xi Thesis Award for his research on various topics related to optimizing cellular systems. He enjoys running, cycling and boating and is based in Plano, Texas.