00 // Nairobi, Kenya :: chief-track
I design the enterprise-wide architecture - data platforms, applied AI, and automation - that turns organizational complexity into executive-grade clarity. Operating at the intersection of strategy and systems, en route to Chief-level data & AI leadership.
01 // credibility
I lead data, AI, automation, and analytics transformation work: the platforms, the programs, and the teams behind them.
02 // proof of work
Analytics & executive reporting
anonymizedTurning fragmented reporting into a single analytics foundation executives actually trust on Monday morning.
role :: Architecture, platform leadership, and delivery
read case study →
AI / automation adoption strategy
anonymizedDesigning an AI adoption program around governance, workflow fit, and measurable outcomes instead of demos.
role :: AI adoption strategy and engineering leadership
read case study →
Process automation team transformation
anonymizedMoving a team from heroic manual effort to an accountable automation program with real process maturity.
role :: Automation program design and team leadership
read case study →
03 // operating principles
01
Reference architectures, domain models, and platform standards that hold up across the whole organization - not just one team.
02
Adoption frameworks, guardrails, and human-in-the-loop design so AI scales with accountability - from pilot to enterprise capability.
03
Automation programs designed as enterprise capabilities: orchestrated, observable, explainable - never a mystery machine.
04
KPI architecture and reporting systems that give boards and C-suites a real-time, trustworthy view of the organization.
05
Roadmaps, target architectures, and teams with product discipline - translating strategy into systems and systems into outcomes.
04 // mission
The systems I architect today power large-scale civic and climate engagement - AI and data infrastructure that reaches communities, not just dashboards. Enterprise architecture is a means; durable human outcomes are the end.
05 // toolkit
Operating infrastructure for better decisions, not just pipes and dashboards.
Applied AI connected to real workflows, accountability, and measurable outcomes.
Workflow orchestration that removes friction without creating a mystery machine.
The habits that keep systems trustworthy long after the launch meeting.
06 // signal
Why most AI initiatives stall at the demo stage, and what changes when you design for workflows, ownership, and measurement first.
The difference between an impressive workflow and a dependable one, and the engineering habits that keep automation accountable.
Why most executive reporting fails quietly, and how treating dashboards as products shortens the path from signal to action.
07 // contact
If your data, AI, or automation work has outgrown its current shape, I can help make it legible, scalable, and useful.