Ever since I started writing about data product and data product management, I’ve had great discussions about exactly how to find a data product manager. For some, they already have the title. For others, they might already be technical product managers in a data adjacent space. But in many cases, the best data product managers are sitting right in front of us as data scientists, but we just don’t know what to look for in evaluating potential. Yet the key challenge remains that while companies want to invest in data product, it is often not clear exactly where they can find suitable candidates. While data product managers can come in many forms, today I want to focus on the data scientist to data product manager pipeline.
Hey Eric! Great iteration. Interesting to learn more about data product in general, not that familiar with the field, and data and product are often times quite separated. I am new to your newsletter but have seen many of your posts on LinkedIn. Would love to have you on my podcast if you'd like to talk! :)
Excellent pointers, wonderfully written.
Here are my followup questions -
1. Could you explain what product sense is in regards to data for a data product manager? What are the signals and what are some muscles that potential candidates can work to strengthen?
2. There is also a pay disparity in engineering of what a data scientist would make vs a data product manager? what are some career pathways that can be established for data product managers to reach seniority in decision making and pay?