Paul-Marie Carfantan
Independent Advisor @Miscellaneous Companies
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WORK HISTORY
Independent Advisor @Miscellaneous Companies
Provide off-hours, vendor-agnostic guidance to a handful of non-health-care organisations on AI use-case prioritisation, vendor selection, and governance basics. Engagements are small, invite-only, and fully separate from my CVS Health role.
EDUCATION
HEC Paris
MSc, Sustainability and Social Innovation
City St George’s, University of London
Bachelor of Science (BSc), International Politics and Sociology
École Polytechnique
Advanced Certificate, Data Science & Artifical Intelligence for Business
The London School of Economics and Political Science (LSE)
MSc, Media and Communications (Data and Society)
SKILLS
ABOUT PAUL-MARIE CARFANTAN
Paul-Marie Carfantan is a leader focused on building the operational foundations that make AI systems trustworthy, auditable, and usable at scale.Enterprise AI Execution & Governance: as Senior Manager, Third-Party AI Governance at CVS Health, Paul-Marie builds and operates the execution layer that enables safe adoption of AI across a Fortune 4 enterprise. His work spans vendor intake architectures, validation and monitoring playbooks, policy frameworks, contractual controls, and regulator-facing artifacts. He turns abstract AI risk principles into day-to-day operating systems.Applied Systems Work (Non-Commercial): beyond his role at CVS Health, Paul-Marie contributes hands-on, vendor-neutral support to a small number of organizations working through complex AI adoption challenges. This work is focused on system design, operating models, and execution discipline. He helps teams move from intent to durable practice without hype.Community & Field-Building: Paul-Marie leads the Responsible AI Program with AI LA, a nonprofit advancing community across Greater Los Angeles. AI LA convenes practitioners, researchers, students, and policymakers through forums focused on building AI systems that hold up under real-world scrutiny.Background: Paul-Marie brings over a decade of experience across AI, data, and risk functions, with prior roles at Google AI, Deloitte, and Dataiku. He has co-designed AI fairness and auditability toolkits adopted across multiple industries and has been recognized by Santander-CIBOD, international AI policy forums, and civic technology organizations. He holds graduate degrees from the London School of Economics and HEC Paris.
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