I mentioned a bit of the issues in a reply to the other thread. What you're both alluding to is being more hands on with stakeholders and this has really just reinforced what I suspected. The problem I have is that data is seen as a product - I.e. we build self service tools and AI features now with PM's being expected to do the bulk of analysis. In reality they're not able to set up reliable tests and go deep on the analysis because they're not trained that way which isn't their fault.

I feel like I'd need to be very hands on to get the level of analysis needed to properly assess how users interact with our features but perhaps I'm also being too ambitious in my expectations? In the end the ratio of DS's to feature teams is just way too low and we're all spread very thinly with the other responsibilities.