Yellowbrick Data Appoints Tim Young as New CMO

Veteran in building global marketing teams and category creation joins leadership

MOUNTAIN VIEW, Calif.--()--Yellowbrick Data, the leader in Distributed Data Cloud architecture for data warehousing, has appointed Tim Young as Chief Marketing Officer.

Leading the company’s aggressive marketing agenda, Tim brings his track record as a builder and go-to-market expert in data warehousing, AI, and analytics markets, representing hypergrowth brands including DataRobot and Netezza, with the latter resulting in a $1.7 billion exit when acquired by IBM.

“Tim brings extensive knowledge and experience in scaling disruptive technology companies that are on a rapid growth trajectory,” said Neil Carson, CEO and co-founder of Yellowbrick Data. “Having built category-leading recognition for global data and analytics brands, we are fortunate to have him on the team as we enter our next stage of growth, turning Yellowbrick into the standout story of 2022.”

Tim Young has more than 25 years of experience marketing technology in AI, machine learning, big data, cloud, and analytics markets. He has built and led global marketing teams, created categories, developed global brands, and maximized revenue opportunities for recognition-deficient companies, leading to significant financial outcomes including three acquisitions. Most recently, Tim built and led global marketing for DataRobot. Before that, he held executive marketing roles at Workday, IBM, and Netezza, where he created the Netezza (now IBM) and TwinFin brands.

About Yellowbrick Data

Yellowbrick is revolutionizing the world of data analytics with the world’s most flexible cloud native data warehouse. Organizations of all sizes rely on Yellowbrick to get answers to their most challenging business questions, power their decision-making, and get real-time insights at a fraction of the cost of alternatives. Yellowbrick offers superior price/performance for every business use case, along with the unique ability to run analytic workloads in public or private clouds, at the network edge, or any combinationwith the choice of usage-based pricing or a predictable fixed-cost subscription. Learn more at

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Glen Zimmerman


Glen Zimmerman