Maroua L.

• Led a strategic data product for customer attribute calculation, covering profile, segmentation, and purchasing behavior, from discovery through production, including roadmap ownership, backlog prioritization, and user story definition.
• Defined business rules for data computation and usage; contributed to data quality testing and validation strategies.
• Drove the adoption of a domain-driven data product model (Data Mesh / data-as-a-product), reinforcing team ownership over their data domains.
• Coordinated business validation across teams to ensure data consistency, reliability, and usability.
• Structured and prioritized business requirements through discovery sessions with cross-brand stakeholders.
• Managed agile ceremonies and handled production incidents within the data domain.

• Pilotage d'un data product stratégique dédié au calcul des attributs clients (profil, segmentation, comportement d'achat), de la discovery à la mise en production, incluant ownership de la roadmap, priorisation du backlog et rédaction des user stories.
• Définition des règles métier de calcul et d'usage des données ; contribution aux stratégies de test et de validation de la qualité des données.
• Contribution à l'adoption d'un modèle orienté domaine (Data Mesh / data-as-a-product), renforçant l'ownership des équipes sur leurs données.
• Structuration et priorisation des besoins métier via des sessions de discovery avec les parties prenantes multi-marques.
• Coordination des validations métier pour garantir la cohérence, la fiabilité et l'exploitabilité des données.
• Animation des rituels agiles et gestion des incidents de production au sein du data domain.

Scope: Customer & Legal data products covering CRM, marketing, clienteling, and data privacy use cases across multiple Houses (Gucci, Balenciaga, Saint Laurent…)

• Structuring data product ownership (Customer & Legal), establishing clear accountability models and improving operational ownership
• Leading incident, problem, change, and release management processes for critical data flows supporting key business use cases (customer segmentation, marketing campaigns, CRM performance, GDPR compliance)
• Investigating data quality incidents (consistency, mapping, multi-source data alignment), performing root cause analysis, and coordinating resolution with data, IT, and business teams
• Identifying recurring issues and implementing data quality controls (testing, monitoring, data quality frameworks) as part of a continuous improvement approach
• Contributing to the structuring of Data Quality and governance practices (standards, rules, data freshness and completeness controls)
• Managing multi-domain complexity with strong dependencies on upstream systems (CRM, marketing, customer service, compliance systems)
• Acting as the main point of contact for brands and business teams, ensuring alignment, communication, and adoption of critical data products used at group level for CRM, marketing, and compliance use cases

• Structuration de l’ownership et amélioration de l’accountability des data products
• Pilotage du Run sur des flux data critiques
• Investigation des incidents data, analyse des causes et coordination des corrections
• Mise en place de contrôles de qualité et amélioration continue (tests, monitoring)
• Contribution à la gouvernance et aux pratiques de Data Quality (standards, règles, contrôles)
• Gestion d’un environnement multi-domaines et multi-sources (CRM, marketing, service client, conformité)
• Interface principale avec les métiers et les marques, garantissant alignement et adoption

Scope: Migration of 60+ Big Data applications to a modernized data platform.

• Led the full delivery of a large-scale Big Data migration program (60+ applications), including application prioritization, dependency mapping, and sequencing across multiple parallel workstreams.
• Coordinated data engineering, IT, and business teams throughout the program; facilitating agile ceremonies, steering committees, and stakeholder alignment sessions.
• Managed migration phases end-to-end: planning, testing, incident management, and production releases, ensuring business continuity at each milestone.
• Defined and applied data governance standards across migrated assets: naming conventions, data classification, lineage, and data quality.
• Acted as the central point of contact for escalation and issue resolution across teams and workstreams.

Périmètre: Migration de plus de 60 applications Big Data vers une plateforme data modernisée.

• Pilotage du delivery d'un programme de migration Big Data (60+ applications) : priorisation des applications, cartographie des dépendances et séquençage sur plusieurs workstreams parallèles.

• Coordination des équipes data engineering, IT et métiers tout au long du programme — animation des cérémonies agiles, comités de pilotage et sessions d'alignement.
• Gestion des phases de migration de bout en bout : planification, tests, gestion des incidents et mises en production, en garantissant la continuité métier à chaque jalon.
• Définition et application de standards de gouvernance sur les assets migrés : naming conventions, classification, lineage et qualité des données.
• Point de contact central pour la gestion des escalades et la résolution des blocages entre équipes.