Diego Sanz
Founder & AI Engineering Lead
Diego has spent twenty years building data and AI practices — from Fortune 500 enterprises at PricewaterhouseCoopers and Publicis Sapient to mid-market companies at boutique firms. What makes the background uncommon is the range it draws on: formal training in computer science, applied statistics, and business strategy — the grasp of how these systems work, the engineering judgment to build them well, and the commercial perspective to make sure they move metrics leadership can defend. The three rarely live in one practitioner. Unusually for a founder, he stays close to the build — architecting the firm’s hardest systems alongside the team rather than handing them off.
His work spans ten industries — finance, healthcare, life sciences, consumer goods, telecommunications, media, education, logistics, real estate, and technology — across clients including AT&T, NBCUniversal, HBO, Capital One, Wells Fargo, Lenovo, Eli Lilly, AARP, and the CDC. The through-line is consistent: translating technical capability into business outcomes, whether that means a propensity model scoring millions of customers or a marketing-mix analysis across a nine-figure media portfolio.
The collective’s three-phase methodology — Assess & Align, Build & Embed, Measure & Accelerate — is a direct product of that experience. Most AI initiatives stall because strategy, implementation, and accountability are treated as separate engagements — sound strategies no one can execute, working systems with no way to prove their return, deployments that degrade months in with no one accountable. The methodology holds all three together, from readiness through ROI.
As the founder of DataStudios, Diego leads that practice — advising leadership teams on where AI creates defensible value, and guiding the engineering that turns strategy into systems built to hold up in production.
Computer Science (BSc) · Business Administration (MBA) · Applied Statistics