José Antonio González García
Digital Innovation Product Owner @Sanofi
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WORK HISTORY
Digital Innovation Product Owner @Sanofi
Paris, FR
I lead digital products that deliver R&D decision analytics across Sanofi’s full development portfolio, enabling evidence‑based prioritization and investment trade‑offs.Key responsibilities & achievements:• Lead valuation & scenario‑planning capabilities (NPV, Monte Carlo, decision trees) used across therapeutic areas for portfolio decision cycles.• Deliver AI‑driven PTRS models adopted by Portfolio teams and Finance Business Partners to strengthen risk‑adjusted governance decisions (continue / stop / fund).• Build competitive intelligence AI to synthesize external signals and support TA strategy discussions.• Partner with Finance Controlling to establish AI‑enabled structural & internal cost forecasting baselines, • Own executive analytics digital product (Plai.RD) integrating portfolio, finance, and clinical operations data to support leadership reporting and strategic reviews.• Work cross‑functionally with R&D, Finance, Strategy, and Clinical Operations to translate strategic questions into decision‑ready insights and analytical products
EDUCATION
IAE Paris - Sorbonne Business School
Master 2 Professionnel Management financier , Finance
PMI Institute
PMP certification, Project Management
Universidad de Valladolid
Master, Telecommunication Engineering
SKILLS
ABOUT JOSÉ ANTONIO GONZÁLEZ GARCÍA
I sit at a rare intersection: 10+ years of hands-on pharmaceutical portfolio analytics — NPV modeling, PTRS estimation, Monte Carlo simulation, competitive intelligence — combined with deep expertise in building AI and agentic systems that make these capabilities faster, more scalable, and more strategic. At Sanofi, I\'ve built and owned the analytical products that inform some of the most consequential decisions in R&D: which assets to fund, which to stop, how to allocate billions across therapeutic areas, and how to read competitive signals before they become strategic surprises. The systems I\'ve built are used by Portfolio teams, Finance Business Partners, and senior leadership across the full development pipeline. More recently, I\'ve pushed further into AI — working with PTRS prediction models, agentic competitive intelligence systems, and a real-time portfolio simulator that enables live scenario exploration during strategy discussions. This work sits at the frontier of what pharma portfolio analytics can be. My background spans Finance (Master 2, IAE Paris-Sorbonne, valedictorian), pharma domain expertise, and AI/data engineering — a combination that is genuinely hard to find in one person. I\'m interested in conversations at the intersection of pharma strategy, portfolio investment decisions, and AI — whether inside pharma, in advisory roles, or in the investment community.
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