Fifteen-plus years inside the machinery of organisations.
The Divergent Analyst is written and run by Fayez — a data leader who spent that time as translator, mechanic and connective tissue between commercial, technical and leadership teams, and who now applies that lens to neurodivergent analytical talent.
A techie by trade
Fifteen-plus years across data analytics, audience insight, business intelligence and technical capability building — warehousing, pipelines, extraction, transformation and turning intelligence into formats different teams can actually use.
That work has included a Head of Data role at a well-known global media and publishing business, representing audience data, BI and insight at board and leadership level, and earlier work at a prominent media and marketing agency building matching logic for messy, human-entered data years before it was fashionable to automate it.
- Not therapy, clinical guidance or diagnosis
- Not generic productivity coaching
- Not compliance-only DEI training
- Not "ADHD is a superpower" content
Diagnosis as language, not origin
An ADHD diagnosis added language to work patterns that were already there — curiosity, pattern recognition, hyperfocus, and the less convenient parts too. It didn't invent the thesis; it made the divergence describable.
Statements here about cognition, attention and neurodivergent work patterns are a mix of lived experience, working hypothesis and research in progress. They're treated as exactly that — not settled clinical fact — and the book's research programme exists to test them properly rather than assert them.
This book is roughly 90% me, 10% AI. That's not a disclaimer — it's the only ratio that lets me call this my work rather than something a chatbot produced with light input from me.
Analyst, by way of divergence
The name reflects the approach: rigorous, evidence-grounded analysis applied to a question most organisations haven't asked properly — where does divergent thinking actually create value, and what does it take to build for it deliberately? The territory is deliberately narrow: neurodivergent cognition inside data, analytics, AI, BI, product, technology and transformation work, where thinking itself is the principal tool.