So my boss is not happy with our Data Engineering team and wants to introduced a sort of SRE team that would be tasked with our data reliability. DE would build the pipes while this SRE group would optimize them and make them more robust.

1/ it feels half-baked and just a ploy to reboot the DE team. Does anyone have material about how Data as a product would be quality enhanced?

2/ I don’t see what PM would own. How does PM interact with SRE? Does SRE even need PM? How is data quality as an objective measured? We know we have shitty data, would the PM set the goals that would enhance the quality of our data? The issue is the quality is not really under our control since it comes from various systems. For instance we lack granular finance data, it is not something that can be coded or made more reliable. It needs to be a full time project with Finance to design a more granular method.

3/it feels I’m PMing tech debt & Maintenance which no one ever recognizes as important. Any insights how to pivot from quality to delivering automated recommendations to our users and using that as use cases to drive data reliability?

For context oversee internal reporting platforms, infra, AI algos, automation.

Thanks!