How do we successfully deliver Data Science in the Enterprise?

I've worked on Data Science projects and delivered Machine Learning models both in production code and more research type work at a few companies now. Some of these companies were around the Seed stage/ Series A stage and some are established companies listed on stock exchanges. The aim of this article is to simply share what I've learned -- I don't think I know everything. I think my audience consists of both managers and technical specialists who've just started working in the corporate world -- perhaps after some years in Academia or in a Startup. My aim is to simply articulate some of the problems, and propose some solutions -- and highlight the importance of culture in enabling data science.