Datasembly Names Chief Technology Officer

Datasembly, a provider of real-time, hyper-local product pricing, promotions and assortment data for retailers and consumer packaged goods (CPG) brands, has promoted David Alan Cohen from Director of Engineering to Chief Technology Officer (CTO). In his new position, Cohen will focus on the technological requirements, opportunities and challenges within the organization while driving growth for the company. As part of Cohen’s promotion to CTO, Dan Gallagher, a co-founder of Datasembly who served as the previous CTO, will continue to serve on Datasembly’s Board of Directors.

Datasembly collects massive amounts of unique data and transforms them into a powerful solution for CPGs and retailers. This year, the company hit 1 trillion product observations, showcasing its capability to collect and harmonize data at scale.

Having increased its customer base and collection rates, the engineering department raises the bar for the industry with the development of Datasembly’s next-gen software and products geared to drive sustained scalable growth. CPGs and retailers never have been able to access competitive pricing data in real-time at such a granular level.

“There is no doubt that David has been pivotal in the continued growth and success of Datasembly. His tenacity, work ethic and expertise are invaluable to our company,” said Ben Reich, Datasembly’s CEO and co-founder. “Under his leadership, we now count three of the top 10 CPG brands and two of the top five regional and national retailers as customers. We will continue to drive toward delivering the most accurate and transparent data for the market.”

For almost five years, Cohen has been leading and growing Datasembly’s data collection team, and in the past year, extended his leadership to the data-as-a-service team. During his tenure, he designed and implemented systems to advance Datasembly’s technical excellence and to ensure the engineering needs across the business were met.

Prior to Datasembly, Cohen was a simulation technology specialist at the University of Virginia School of Medicine, where he conducted and presented original academic research on the relationship between cognitive load and EEG indices and also created medical training scenarios using physiological modeling software.

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