Why Data Products Need a Product Manager

What this episode covers

Episode 56 of The Data Business Podcast. Lucas and Luna explore the emerging role of the data product manager — the person who bridges data engineering and business outcomes. They look at how companies like Spotify and Intuit have formalized this role, the difference between a data PM and a traditional PM, and why treating datasets like products with roadmaps, user research, and SLAs is becoming essential for enterprise data teams. Specific examples include Spotify's internal 'data product' teams and Intuit's QuickBooks data monetization efforts. The hosts also discuss the skills gap, the tension between governance and speed, and how to measure success with metrics like data adoption rate and time-to-insight. #DataProductManager #DataProducts #DataStrategy #DataEngineering #Analytics #ProductManagement #Spotify #Intuit #DataMonetization #DataGovernance #DataTeams #EnterpriseData #DataCulture #DataRoadmap #DataSLA #BusinessTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products?

This episode is 9 minutes long.

When was this The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products episode published?

This episode was published on June 17, 2026.

What is this episode about?

Episode 56 of The Data Business Podcast. Lucas and Luna explore the emerging role of the data product manager — the person who bridges data engineering and business outcomes. They look at how companies like Spotify and Intuit have formalized this...

Can I download this The Data Business Podcast with Fexingo: Analytics, Data Infrastructure, and Information Products episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.