John Sturdivant shares a post on the emergence of the AI job.
Non-Technical AI professionals have a serious career problem.
There’s a new category of AI job emerging in the workforce, but we’re still not sure what to call it. This is creating a lot of inefficiency in the job market.
The people doing this work aren’t technical professionals, but they are fluent in both languages of business and data science. They are equally comfortable discussing financial models and AI models. They probably have an MBA, but love diving into huge datasets and talking about data drift.
The business problem they solve is connecting real-life business value opportunities, known best by business leaders with domain expertise, with the solution possibilities presented by AI. Business leaders usually don’t have the deep understanding of AI possibilities, and data scientists often lack the nuanced business context (and bandwidth) to exhaustively identify and thoroughly qualify potential use cases.
They spend their time studying their own company, familiarizing themselves with overarching corporate goals and challenges; while also staying current on the state of the art in AI and company capabilities in data science.
McKinsey called these people “Translators” in 2018, but search a job site and nothing will turn up.
I used to be called an “AI Success Director”; but that title is niche, fluffy, and also not commonly accepted.
So what do you call these types of professionals/jobs?