Darryl Kanouse Professional Resume

Darryl Kanouse: 20+ years of marketing technology innovation, leading cross-functional teams to build data-driven consumer engagement products. Fluent in customer acquisition and retention strategies, CRM, and digital loyalty programs. Expert solution architect, technology strategist, and cross-functional team leader; strong hands-on data analyst; opinionated/capable UX designer. Delivered ~$684MM annualized incremental attributed product sales for Amazon.com with new ML-driven cross-channel campaign targeting system.



Head of AWS Email Marketing
Amazon Web Services, 2020-Present
Lead email marketing for cloud computing leader. Grow a team of product, engineering, analytics, and operations resources to deliver new capabilities while defining the performance protocols and operational policies that govern execution in the email channel.

Senior Manager, Technical Product Management, Lifecycle Engagement
Amazon, 2017-2020
Led product development for new multi-channel (outbound/inbound), mid-funnel marketing systems to drive cross-category engagement for all of Amazon’s e-commerce product and services. Managed a cross-functional organization of product managers, software engineers, data analysts/BI, and program management. Delivered ML-driven targeted program automation across 14 business units, and approx. 500 campaigns for +$684MM annualized incremental attributed product sales.

Senior Director, Consumer Technology, Integrated Marketing and Data Services
Activision, 2014-2017
Led development of cross-franchise, multichannel customer engagement technologies, including: content delivery, data warehouse services and personalization systems. Managed a cross-functional team of data architects, engineers and product managers for platform development. Worked across central and studio organizational units to deploy integrated marketing solutions, including personalized outbound engagement initiatives that drove +17% attributed incremental lift in time in game, and +$21MM lift in DLC sales. Franchise support included: Call of Duty, Skylanders, and Guitar Hero.

Principal Solutions Architect, Associate Partner, Technology
SapientRazorfish, 2011-2014
Lead design and delivery of data-driven marketing technology solutions for key agency clients including: Samsung Mobile USA, Sony Entertainment Network and Activision Publishing. Manage distributed cross-discipline application development efforts. Lead agency’s Data Solutions practice. Responsible for establishing technology-based agency differentiators in personalized experiences and lifecycle management.

Solutions Architect
Zodeca, LLC, 2003-2012
Application design, execution leadership, deployment support and related consulting services for clients in a wide range of industries. Key projects include: Design and delivery of high-volume digital royalties pre-processing system for Universal Music Group, development of Screen Nation Video Portal establishing the online hub for American Film Institute’s Screen Education program, and launching RotoPass.com as a Fantasy Sports service aggregator.

Lead Technical Architect
Tier 3 Technology, Inc., 2001 – 2003
Marketing technology application design and delivery.

Senior Application Developer
MediaHippo, Inc., 1999 – 2001
Marketing technology application design and delivery.


University of California, Santa Cruz Computational Linguistics


System and method for generating personalized messaging campaigns for video game players
Issued Oct 18, 2018 | us 10099140
A video game player’s profile data and/or behavioral data may be used to create a customized messaging campaign for the player. The messaging campaign may comprise one or more messages, each selected from a variety of message types, that may be delivered to a game player through one or more channels, at predetermined time intervals. Examples of message types may include gameplay tips, techniques, strategy information, news, awards, milestones, promotions relating to microtransactions (e.g., offers, discounts, etc.), overviews of new products, features, etc., or other message types. Any number of predefined messages may exist (e.g., tens, hundreds, thousands, etc.) for each message type.