I think this is great, but point #4 is way off the mark. It's pretentious and it's gatekeeping. It's not true that a strong analytics leader as you've described is incapable of understanding selection bias, measurement bias, Simpson's paradox, and statistical significance. I would posit that a great analytics leader needs to understand all of those. It's not true that only a "data scientist" with a bunch of fancy programming and modeling experience is the only one capable of understanding bias.

Also you misspelled "breathe". As in "live and breathe".