My vote → business-first architect with strong tech grounding.
At the EA level, the harder problem is usually not coding.
It’s decomposing enterprise capabilities, aligning operating models, rationalizing systems, and coordinating transformation at scale.
How do others view this?
I recently interviewed at a FTSE 100 company for an enterprise AI architecture role — complete with buzzwords like "AI Factory," "Governance Frameworks," and "Responsible AI at Scale" in the JD.
The interview panel was a developer, a project architect, and a manager who'd just discovered the word "agentic." We spent 45 minutes on chunk overlap, Pinecone vs Chroma, and why someone used a list instead of a tuple.
Not once did they ask:
Is this common? Are large companies just copy-pasting ChatGPT job descriptions for roles they don't actually understand — and then wondering why their "AI transformation" turns into a pile of disconnected demos and governance theatre?
I am working on a project where I need to put together the enterprise-level customer data architecture of a retail client.
I came up with something like this. Just curious if other EAs might have an opinion?
