Why You Need a Centralized Data Science Team
What is the optimal organizational structure for a data science team? A CDAO explains why centralized data teams are the best model.
MoreAlan Jacobson is the chief data and analytics officer (CDAO) of Alteryx, driving key data initiatives and accelerating digital business transformation for the Alteryx global customer base. As CDAO, Jacobson leads the company’s data science practice as a best-in-class example of how a company can get maximum leverage out of its data and the insights it contains. He is responsible for data management and governance, product and internal data, and use of the Alteryx Platform to drive continued growth. Prior to joining Alteryx, Alan held a variety of leadership roles at Ford Motor Company across engineering, marketing, sales, and new business development; most recently leading a team of data scientists to drive digital transformation across the enterprise. As an Alteryx evangelist at Ford, Alan spent many years leveraging the Alteryx Platform across the company and witnessed first-hand the impact a culture of analytics can have on the bottom line and what it takes to succeed as a data-driven enterprise. Alan will extend his role as an evangelist to customers, helping data workers and business leaders alike foster a culture of analytics and deepen their investments in digital transformation strategies. Alan was recognized as a top leader in the global automotive industry as an Automotive Hall of Fame Leadership & Excellence award winner and an Outstanding Engineer of the Year by the Engineering Society of Detroit and works with the National Academy of Engineering and other organizations as an advisor on data science topics. Alan earned his bachelor’s degrees in engineering from the University of New Hampshire and received his master’s degree in mechanical engineering from Virginia Tech.
What is the optimal organizational structure for a data science team? A CDAO explains why centralized data teams are the best model.
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