Data PM Intro

As a Data Product Manager in the world today it’s easy to feel like a bit of lone wolf. It’s small, but quickly growing niche. There is no body work out there to help people like us.

Even the basic questions, like “what is data product management?”, or “what is the difference between BI and a data product?”, have yet to be fully answered.

So, we’d like to share our experiences, limited as they may be, in the hopes that this is helpful for some of you learning about Data Product management, whether you are refining your craft, or transitioning into a Product facing role.

Dashboards are data products.

There are a couple ways we intend to this:

• Articles right here on Medium, culminating in a publication on data product management: Check it out here https://medium.com/the-data-pm
• LinkedIn posts, for the short, shareable stuff
• Recorded interviews with Data Product Managers, and industry experts: (Reach out to collaborate!)

Roadmap

In terms of what to write, we feel like there are many ideas to cover. Here’s a short list of what’s to come. If any of these stand out, please highlight or comment and we’ll prioritize them:

1. What is a Data Product Manager?
   What a DPM does and doesn’t do.
2. But first, why Data Product Management?
   Why data is exploding, why data product mgmt is having it’s moment
3. Building a Data Platform Roadmap
   How to Measure Business Value of your Data Engineering team
4. Self-Service Analytics
   How to Measure your Self-Service Score
5. What to expect on your Data Product Manager interview?
   The Unique Balancing Act of the Data PM Interview and the 4 Areas that will likely be covered. https://medium.com/the-data-pm/what-to-expect-on-your-data-product-manager-interview-6fbe3d428b71

Others/Backlog

• What Role Does a Data Platform Play in Product Mgmt?
• The Roles Within a Data Team
• Data warehouse to data mesh
• Why you shouldn’t have a data science team (and the ideal format for data product teams)
• What we Learned From Deploying our First ML Model
• Operationalizing data
• BI as a service vs data products/reporting features. BI vs product analytics
• What is analytics engineering