Gordon is the Senior Data Strategist at Contemporary Analysis (CAN), a modern data science consulting firm in Omaha, NE, and author of: Leading a Data Science Organization. He has led hundreds of projects including data science strategy, machine learning, data lake and data engineering, and business intelligence in a wide range of verticals including Healthcare, Agri-business, Manufacturing and Industrial, Transportation and Logistics, and Heavy Construction. He is also one of the leading voices in the region for how to build vision and implementation strategies of data-driven decision making into an organization where none existed before. Gordon also serves on the board of and is a teacher at the Omaha Data Science Academy--the Midwest's only data science boot camp.

Prior to CAN, Gordon spent 20 years with ConAgra foods where he oversaw their vast supply chain database warehouse. This gives Gordon advanced knowledge of how to store very large datasets and structure them in such a way to use machine learning to extract recommendations that alleviate risk and optimize success. Gordon has lead projects spanning from labor reduction to network optimization including transportation efficiency, real-time management dashboards, safety optimization, root cause analysis, demand forecasting, and customer P&L. Gordon also successfully wrote an optimization engine (a sophisticated stochastic simulated annealing heuristic using an evolutionary strategy and a dynamic population size) that successfully identified the key drivers of cost variances and saved over $2M when multiple analysts (internal and external) had been unsuccessful in identifying the root cause.

Gordon has a bachelors degree in Physics from St. Lawrence University.