And in the morning light,
it looks like this.
A beautiful plan that loses money
is a painting.
Does it pencil? It does.
Every figure comes from the engine run that drew the city above — never from a picture. A tripwire test pins this verdict in the codebase: flip the NPV negative and the build fails before the site ships.
Geometry owns every number.
The day job: rooms where
numbers land.
A 96 km² giga-project runs on a reporting estate I architected in Power BI — five semantic models, 900+ DAX measures, eleven departments, one source of truth. Below: a working miniature in that discipline. The frontier city’s own delivery estate — synthetic data, live on this page. Everything this room does, the real estate does in Power BI.
1 of 5 board approvals complete this quarter; no completions recorded at stages beyond board approval. Engagement above target is a flag, not a win — SAR 916M engaged is unsigned until KYC and legal close.
◈ opportunity register · synthetic rows
Decisions recorded here post as register rows and the notes ride with them — reporting and capture share one surface, so the meeting is the system of record. The same loop shipped for real on a 96 km² estate.
52 actions tracked: 34 complete, 15 in progress, 3 on hold.
append-only · provenance kept · synthetic
Where the hours went.
Senior Data & Analytics Manager
Enterprise data & analytics for a 96 km² giga-project: architecture, governance, analytics roadmap across 11+ departments, C-level reporting. Promoted from Senior Project Controls Manager, 2025.
Project Controls Manager
Built and ran the portfolio Power BI estate: 666 assets, 50+ projects, 15 districts, 7 communities; automated data collection across every functional area.
Reporting Mgr · Project Controls Mgr
114 projects across 14 royal palaces including the new-build NEOM palace — 6 contractors, 40,000 workers; then Power BI reporting for 47 AMAALA projects through the five-stage gateway.
Operations & systems roles
Opened Steak ’n Shake’s first international restaurants; information platforms for a USD 40M industrial developer; trained 1,000+ staff across 6 countries.
After hours I run a local AI estate, draw cities from raw boundaries, and write a universe for my kids. It’s why I’m doing everything. I want them to see the beauty that I see in the world. Every seed of interaction branches — the engine that planned this city is one of the branches.
Let’s talk data.
Enterprise analytics · PMIS · GIS land truth · applied AI — on major development programmes, at C-level, with every number traceable to the geometry it came from.
This is just the beginning.