Data · Analytics · Generative AI
Turning data into decisions — where it is hardest.
Turning data into decisions — and taking GenAI into production where it is hardest. Led by Julian Grijalba, Head of Data Insights & Competitiveness LATAM at Roche.
What we do
GenAI in production, not in a slide deck.
Most organizations pilot AI. The hard part — and the value — is running it live, governed, at scale, in regulated industries. That is the work.
GenAI & agentic AI in production
Moving multi-agent and RAG systems past the pilot into live, governed operation in regulated industries.
Multi-agent pharma-intelligence system across 8 countries / 121 regulatory & market sources at Roche (2026).
From reporting to business partnering
Repositioning analytics teams into strategic partners of GMs and the board.
Launched Roche’s Data Insights Network operating model (2026); eliminated 74% of regional reports at Kimberly-Clark (2023).
Data operating models & governance at scale
Single source of truth, KPI harmonization and data stewardship across many countries.
Core & Common KPI framework across 6 affiliates (2026); harmonized 78% of regional KPIs across 14 countries.
Competitive & market intelligence for pharma
Feeding disease-area and specialty-care intelligence into commercial and market-access strategy.
Rolling out Roche’s regional competitive-intelligence capability (2026).
Selected outcomes
Evidence, not adjectives.
“The problem was never the data — it was the distance between the data and the decision. In pharma that distance has a name and a face: a patient who does or does not access a treatment depending on how well we use information.” — Julian Grijalba, Head of Data Insights & Competitiveness, LATAM at Roche