Early on in my time as the tech lead of a central data team I realised that central data ownership wasn't a sustainable model. Central ownership had been hugely effective in helping my team to quickly build a trusted single source of truth and create a company-wide data culture and governance around it, but as we matured we quickly reached data overload.
The small team of analysts and engineers were expected to be subject matter experts on every possible domain, making it difficult to prioritise demands and not always putting expertise in the hands of those who best understand the data.
When I'm talking about data ownership I mean responsibilities such as:
Ingesting and storing raw data
Transforming and modelling data
