About 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.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- EYManagerCONSULTING AND AUDITSFebruary 2022 - Today (4 years and 4 months)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 BuildersSenior ConsultantJune 2020 - February 2022 (1 year and 8 months)La Poste – Definition and implementation of a Data Management Strategy and Data Quality StandardsBPI – Market study and benchmarking of AI solutions
- Capgemini Consulting - Capgemini InventConsultant DataMay 2019 - May 2020 (1 year)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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