Jonathan Marek

Senior Vice President, Applied Predictive Technologies

Jonathan Marek is a Senior Vice President with Applied Predictive Technologies (APT). He leads engagements with retail, restaurant, consumer products and retail banking clients, including Starbucks, Michaels, SUPERVALU, and RadioShack. Jonathan has helped clients improve performance through optimizing capital strategy, new concept development, media optimization, store labor planning, space optimization, site selection, and store-based goal setting. He also serves as Head of APT’s San Francisco Office.

Jonathan has more than a dozen years of experience applying quantitative techniques to retail and consumer products issues. Prior to joining APT, he was a Principal at Mercer Management Consulting (now Oliver Wyman), where he consulted to multi-unit retailers on new business strategy, network planning, and operational process issues. At Mercer, he drove several field-based change efforts with Fortune 500 companies. He has led engagements across North America, Latin America, and Europe.

Jonathan holds a B.S. in Mathematics (with Honors and Distinction) and an A.B. in Philosophy from Stanford University, where he graduated Phi Beta Kappa.

Applied Predictive Technologies (APT) is the industry leader in helping large-scale consumer-focused companies institutionalize a world-class Test & Learn capability. Through the combination of APT’s proprietary software and capability-building consulting support, APT has helped some of the world’s largest and most successful companies achieve significant bottom-line improvement. For more information about Test & Learn, visit

Follow @MarekJonathan on Twitter

  • Apply to be a BrainTrust Panelist

  • Please briefly describe your qualifications — specifically, your expertise and experience in the retail industry.
  • By submitting this form, I give you permission to forward my contact information to designated members of the RetailWire staff.

    See RetailWire's privacy policy for more information about what data we collect and how it is used.