The Differences Between Product Managers and Data Scientists

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In my world as a platform product manager, I work with data folks as practitioners who help me understand subject matter. But for the product managers who are just trying to deliver a feature for an end user, optimize conversion funnel, whatever it is, often the data analyst or the data scientist has the same goals as the product manager. And that's a very different way of working together. That's one where product managers and data scientists should be sitting in a room going, what are our opportunities?

Data gets accessed and used in an organization through a variety of different tools (be they built, bought, or both). That work can be quick and smooth, or it can be tedious and time-consuming. What can make the difference, in modernspeak, is the specifics of the "data products" and "data platforms" being used for those tasks. Those specifics, in turn, often fall on the shoulders of (data) product managers! In this episode, Austin Byrne, Group Product Lead for Data at Canva, joined us for a discussion about the similarities and differences between typical product management and data product management! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.