Seven Non-Technical Enterprise AI Career Paths

Matthew DeMello

Matthew is Senior Editor at Emerj, focused on enterprise AI use-cases and trends. He previously served as podcast producer with CrossBorder Solutions, a venture-back AI-enabled tax solutions firm. Prior, Matthew served three years at the World Policy Institute as a news editor and podcast producer.

Seven Non-Technical Enterprise AI Career Paths@2x-min

Relying entirely on consultants or vendors is not a viable strategy - as AI adoption inherently involves new capabilities to be built up within the company, both technical and non-technical. The only reason a company would put AI technical development and implementation entirely in the hands of a vendor is ignorance of how AI works.

Whether you’re an enterprise professional interested in growing your career in AI skills or a business leader trying to understand the first steps to build an early adoption team at your organization, this article provides essential criteria for a team of seven core non-technical roles key to driving successful enterprise AI deployments:

AI Strategist
AI Opportunity Spotter 
Functional Subject Matter Expert
AI Project Manager
AI Educator
AI Trainer
AI Training Orchestrator

We will begin by explaining how these roles develop within organizations from non-technical contexts. In other words, these are typically leaders and other su...

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