Leadership Team

John Matise, CEO

Mr. Matise is a consumer goods veteran with functional expertise in analytics, branding and economics. John holds an MBA and a BA in economics from the University of California.

Shawn Beckwith, EVP Ops

Shawn, a certified project manager for applications development, combines his IT leadership experience and his analytical skills to drive client-focused innovations.

Dan Lyons

EVP Sales
Dan’s experience spans all aspects of going-to-market, including demand signaling, forecasting, supply chain, operations and merchandising.

Sean Cline

VP Client Services
Sean leads the team responsible for transferring client need into Atlas deliverables. His team helps Atlas’ maintain an industry-leading customer retention rate of 96%.

Laurie Brewer

VP Analytics, Insights, & Intelligence, AMP
Laurie is a recognized leader in Category and Space Management. Her cross-functional experience (retailer and manufacturer) is a key element in her skill-set which she uses to continually improves processes, applications and change management.

Jeff Rice

VP Marketing & Communications
For more than two decades Jeff has helped companies develop and sustain competitive advantages by blending effective branding practices with analytics and strategic communications.


Brian Cleaveland

Director of Minneapolis Team
Brian is responsible for ensuring Atlas’ Minneapolis Team consistently meets, or exceeds, clients’ expectations. He is directly involved in the team’s daily operations; however, he also keeps a keen eye on emerging trends and is committed to accelerating the Insight-to-Impact Cycle.

Ryan Dugger

Director of Infrastructure
Ryan leads the team responsible for ensuring all systems (wired and wireless) are fully optimized and secure. Ryan and his team help Atlas maintain it’s reputation for dependability, integration and speed.


Ronald Walker

Data Mad-Scientist
Ronald’s background includes Data Science and Industrial Engineering with extensive experience in statistics, mathematical modeling, machine learning, and mathematical optimization techniques.