#239 Panel: The Role of Data Product Management in Data Mesh - Led by Frannie Helforoush w/ Alla Hale and Jill Maffeo

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Frannie's LinkedIn: https://www.linkedin.com/in/frannie-farnaz-h-a7a11014/Jill's LinkedIn: https://www.linkedin.com/in/jillianmaffeo/Alla's LinkedIn: https://www.linkedin.com/in/allahale/In this episode, guest host Frannie Helforoush, Technical Product Manager/Data Product Manager at RBC Global Asset Management (guest of episode #230) facilitated a discussion with Alla Hale, Senior Data Product Manager - Digital Capabilities at Ecolab (guest of episode #122), and Jill Maffeo, Senior Data Product Manager at Vista (guest of episode #151). As per usual, all guests were only reflecting their own views.The topic for this panel was broadly data product management and the role of the data product manager in a data mesh implementation. Data Product Manager is still a very nascent role so there is still a lot of confusion around it :) If I were to sum up the feeling of the conversation very succinctly, it would be: it's early days, have patience.Scott note: I wanted to share my takeaways rather than trying to reflect the nuance of the panelists' views individually.Scott's Top Takeaways:The role of the data product manager is pretty wide-ranging. It's easy to get overwhelmed and not focus on what really matters. We have to be patient as we learn best practices around data product management because it's still a nascent space.It's crucial to focus on who the...