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Maryame MarzoukMM

Maryame Marzouk

Data & AI Strategy Manager

800 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Maryame

I am a senior Data & AI consultant with 8+ years of experience helping large organizations design and implement data strategies that create real business value.

I specialize in data management, data governance, and data quality, supporting clients from strategy definition to operational execution. I have worked with major organizations across luxury, public sector, and financial services, leading initiatives such as customer data models, data quality frameworks, and AI solution benchmarking.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • EY
    Manager
    CONSEIL & AUDIT
    février 2022 - Aujourd'hui (4 ans et 4 mois)
    Data & AI Use Case Strategy – Logistics (6 weeks)
    • Designed and qualified data & AI use cases to address logistics pain points and unlock opportunities
    • Facilitated 15+ cross-functional workshops (Business & IT) to identify use cases, inefficiencies, and value drivers
    • Built and prioritized a data & AI roadmap (use case & foundations) to guide strategic initiatives and resource allocation
    Data Governance & Management Manager – Luxury Maison (10 months)
    • Constructed a comprehensive Data Quality Standards Framework, including roles and responsibilities.
    • Designed and implemented a Data Quality Strategy for the RCU, significantly improving data accuracy, reliability, and readiness for future analytics and AI use cases.
    • Supported the HR team in assessing and structuring the HR Data Cataloging initiative.
    • Led awareness and training sessions with Data Managers on Data Quality best practices.
    Data Governance Lead – LVMH – Within the Data Governance & Insight Global Team (+9months)
    • Led the definition of data domains and setup of a Data Office within PCD & Guerlain
    • Collaborated with global teams on best practices for data quality and cataloging
    • Established standards for using DataGalaxy, ensuring data consistency and quality organization-wide.
    • Led awareness and training sessions on the AI Act requirements
    Portfolio and Roadmap Manager – Luxury Maison– (1 year)

    • Built and deployed the TOM for AI & Data portfolio management, structuring governance, demand-intake, and value-based prioritization across domains.
    • Scaled the portfolio from 30 to 150 initiatives, providing 360°leadership visibility and strengthening business communication on progress and strategic priorities.
    Pharmaceutical company – 3 months
    • Articulate a clear vision for how data and AI will empower the company to reach its 3-5 years goals post-acquisition
    • Established a robust data governance framework that ensures data quality, security, and compliance post-acquisition
  • AI Builders
    Senior Consultant
    juin 2020 - février 2022 (1 an et 8 mois)
    La Poste – Definition and implementation of a Data Management Strategy and Data Quality Standards

    BPI – Market study and benchmarking of AI solutions
  • Capgemini Consulting - Capgemini Invent
    Consultant Data
    mai 2019 - mai 2020 (1 an)
    Crédit du Nord – Framing of the construction of a data platform ​​​(TOM, Data Governance)
    BNP Paribas - As part of the deployment of an AI-Driven Risk Insight tool, I defined and formalized operational risk typologies while redesigning and harmonizing the operational risk framework to support a group-wide library of controls and transversal standards.
    DEPAFi - Ministère de l’intérieur - Led the selection and qualification of use cases for advanced automation of support functions and supported the RPA solution choice by identifying key technical prerequisites.

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