[Online] What Does a Data Platform PM Actually Do?

​Continuing our DPM webinar series aimed at upskilling & knowledge-sharing, we're joined by Anna Bergevin - Data Platform Product Leader and author of the When Data Met Product newsletter!

​Everyone talks about data platforms. Far fewer people can explain what it means to be the product manager responsible for one.

​Data platform PMs don't have external customers clicking "buy." Their users are internal (engineers, analysts, data scientists) and their success metrics look nothing like a typical product role. The roadmap pressure is different. The stakeholder dynamics are different. Even defining what "good" looks like is different.

​Anna Bergevin is a data platform product leader with hands-on experience running platform teams in healthcare. In this session, she'll pull back the curtain on what the role actually involves day to day - and where it diverges from product-facing data PM work.

​What we'll unpack

• ​What a data platform PM actually owns — and what they don't

• ​How you prioritise when your "customers" are internal teams with competing needs

• ​What "good" looks like when your product is infrastructure, not a user-facing feature

• ​How the role differs from product-facing data PM positions — and why that distinction matters

• ​The skills and mental models that matter most for platform PMs

​What you'll walk away with

• ​A clearer picture of the data platform PM role and how it fits into data product management

• ​Practical frameworks for prioritising platform work when every internal team wants something different

• ​Understanding of what separates a great platform PM from a great product-facing PM

• ​Ideas for how to measure success when your product is infrastructure

​Perfect for: Data product managers, data platform leads, analytics engineers, and anyone curious about how product management works when your users are internal teams.

​This is a practitioner-led conversation, not a textbook overview. Come with questions - especially if you're considering a platform PM role, hiring for one, or wondering whether your data team needs one.

​About our speaker

​Anna Bergevin currently leads data product management at Children's Mercy Hospital. She is passionate about knowledge management, AI productivity in the enterprise, and approaching analytics as a product. When not at work Anna can probably be found at home in her garden, reading a book, or relaxing with her husband, kids, and dogs.

​Anna also writes the brilliant When Data Met Product newsletter - check it out!

​How to join

​This livestream will be held privately inside our new digital space!

​Make sure you've joined us on Circle - signing up takes 30 seconds and is free.

​About the Data & AI Product community

​Data and AI product management is still a young discipline, and there aren't many spaces dedicated to learning from peers.

​So we started this meetup in 2023 to change that! Since then, it's grown into a vibrant community with chapters in London, Barcelona, and Paris.

​Whether or not "product" is in your job title, if you're involved in shaping data, analytics, and AI initiatives (e.g. product managers, strategists, BAs, data scientists, engineers, analysts) you'll find like-minded people here.

​This is an informal, welcoming space to swap lessons, share challenges, and enjoy drinks and snacks along the way 😊

​You can meet us in person at our in-person meetups, but also join our global community where we have expert webinars, training courses, job postings, resources, and discussions.

​Quick FAQ

• ​Will this event be recorded? Yes, we will upload the recording here, along with previous DPM Community webinars

• ​If I sign up to this event, will I be opting into any marketing emails? No. We only use the Luma mailing list to invite you to upcoming community events and share community updates (like our end of year membership survey). You can always opt out of the Luma calendar.

• ​Can I mention this to a friend or colleague? Yes, of course! If they're based in London, send them this event. If they're not, it might be better to send them the LinkedIn Live link directly, so they don't get invited to all our in-person meetups too.

• ​Why are you doing this? Data & AI Product Management is a nascent field, and we created this community to bring together practitioners and help share our skills and experiences with those newer to DPM.