Why technology needs a distinct neurodiversity practice
Technology is the sector where neurodivergent talent is most obviously concentrated and, paradoxically, most inconsistently led. Software engineering, product management, data science, cyber security, infrastructure, machine-learning research and design — the disciplines a modern tech organisation depends on — draw disproportionately from ADHD, autistic, dyslexic, dyspraxic and dyscalculic populations. That concentration is the raw material of the industry's advantage. The gap is the engineering-manager and product-lead population, where consistent neuroinclusive capability is rare, and where retention leaks show up most acutely during reorg cycles, org-design changes and post-acquisition integrations.
Enterprise engagements in technology are usually sponsored by the Chief People Officer or Chief Technology Officer, with joint accountability at the top of engineering and product. The work anchors to engineering-manager capability, senior-technical-leader development, neuroinclusive change and reorg design, and multi-region deployment through a global L&D architecture. It is designed to fit the actual operating rhythm of a modern tech organisation — quarterly planning, distributed hybrid working, dual-track discovery-and-delivery, and the constant re-shaping of squads, tribes and platforms that characterise product organisations at scale.
For scale-ups, hyperscalers and technology divisions inside broader groups, the commercial case is straightforward: retention of neurodivergent technical talent, faster stabilisation post-reorg, stronger engineering-manager capability visible in engagement scores, and a talent-market advantage in neurodiverse hiring. Wayne's technology work formalises what already exists in the organisation — the neurodivergent brilliance the product actually depends on — and makes it a leadable, developable, retainable workforce discipline rather than a happy accident.