Are There Pros and Cons to Different Styles of Data Leadership?

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Mo: I feel like that one comes up a lot, especially with these like head of data type roles where it's like often they want to hire that person first and then have them build the team. In some cases they've done the opposite where they build the team and now been like, oh shit, we kind of need someone to steer the ship essentially. Do you think there are like pros and cons to the different styles or is it more like an evolution of their data team and what they're doing? Yeah. Well, I mean, I think it's appealing to different styles of leadership perhaps. And like neither is a better style necessarily. It may be better suited for different situations

You've got some solid experience under your belt, and you're starting to feel like you're ready to move into a data leadership role. What does that even mean? Shifting your keystrokes from SQL to slide decks? Maybe (but maybe not). Katie Bauer, Head of Data at GlossGenius, has held multiple data leadership roles over the course of her career, and she penned a thoughtful post on the various tactics she employed to find a role that is a good fit. She wrote the post so that she wouldn't have to keep repeating herself when data folks in her network reached out for advice. But that didn't stop this podcast from reaching out to record a lively discussion on the topic! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.