> I have tried to make my red flags and categories vague enough that they can apply to almost any organization <...>

Trying to shoehorn something complicated into a set of broad statements does not help to address the underlying issues as they are not specific enough hence not actionable.

What is more "Data science" seems to be an ambiguous definition. Besides it is intrinsically an afterthought as data does not exist until the company collects it. I would also argue it is "a thing" only in large orgs or globally successful software; small companies do not posses datasets worthy of exploration.

Specifics would help as otherwise it feels like we're talking about technical debt.