Mariem Gargouri

Mariem Gargouri

VP Global Chief Digital Transformation Officer - Global Evaluation Intelligence

Role
VP Global Chief Digital Transformation Officer Evaluation Intelligence R & i at L'Oréal
Location
New York, NY, US
LinkedIn followers
500 followers

About Mariem Gargouri

I am a global business transformation leader operating at the intersection of R&I, product innovation, and data.As Chief Digital Transformation Officer within L’Oréal’s R&I organization, I lead the digital and decision transformation of a key evaluation entity, playing a critical role in how product performance is validated and how decisions are made across the organization.I manage a global team of 30+ across multiple regions and partner closely with senior leadership to reshape product evaluation processes — accelerating time-to-market, improving decision quality, and enabling stronger, consumer-relevant claims.My work contributes to broader R&I transformation efforts, bridging central strategy with operational hubs and ensuring adoption at scale.My focus is not on technology for its own sake, but on driving measurable business impact through better, faster, and more reliable decision-making enabled by data and AI.

Experience

  1. VP Global Chief Digital Transformation Officer Evaluation Intelligence R & i

    L'Oréal

    Sep 2024 — Present

    Leading the transformation of product evaluation and decision-making processes within a key global R&I entity, playing a critical role in how product performance is validated and how innovation decisions are made.Managing a global team of 30+ across multiple regions, driving cross-functional transformation initiatives at the intersection of R&D, business, and data.Partnering with senior leadership to accelerate time-to-market, improve decision quality, and strengthen consumer-relevant product claims.Driving adoption of data and AI at scale to move beyond experimentation and enable measurable business impact across operational hubs.Contributing to broader R&I transformation efforts by bridging central strategy with local execution and ensuring alignment across global teams.

Education

  • INSAT - Institut National des Sciences Appliquées et de Technologie

    Engineer's Degree, Computer Software Engineering

  • Télécom Paris

    PHD, Machine Learning

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