What happens to senior roles when Data & AI splits out of IT?

Posted by Direct_Historian_899@reddit | ExperiencedDevs | View on Reddit | 11 comments

In large companies where Data & AI becomes a separate function outside of IT, I’m curious how this typically plays out, especially at a senior level.

A pattern I’m seeing is that Data & AI takes ownership of data engineering, analytics, data science, and of course AI. IT is then left to focus more on "traditional" areas such as infra, IT operations, security, etc. This often leaves a set of senior roles that used to sit between data, applications, and the business without a clear place. These roles made sure everything worked together and delivered value, but after the split they don’t clearly belong to either Data or IT.

For those who have seen this in practice: how do these roles usually evolve? what tends to remain valuable vs. what gets marginalized?