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Salary
≈ $45k – $80k per year (Estimated)
Location
Hybrid (France)
Employment
Freelance

First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Raedy is a consulting firm that supports mid-sized and large companies in their data and AI projects. It offers expertise in information systems architecture, change management and product management, and places business analysts and project managers with banking clients. The company is headquartered in Paris, France.

Contexte
Nous recherchons pour notre client, une grande Maison internationale du secteur du luxe, un(e) Product Manager à dominante data. Il ou elle rejoindra l’équipe Data, qui développe des produits data au service des métiers.

Vous serez le lien entre les équipes data et les directions Finance, Retail et Logistique, avec une vraie culture produit et une forte orientation valeur.

Vos missions

  • Définir la vision et la roadmap des produits data : dashboards, modèles de données, indicateurs de pilotage.

  • Recueillir et prioriser les besoins des équipes Finance, Retail et Logistique, puis les traduire en user stories exploitables.

  • Piloter le backlog et animer les cérémonies agiles avec les Data Engineers et Data Analysts.

  • Définir et suivre les indicateurs de valeur et d’adoption des produits livrés.

  • Garantir la cohérence des définitions et des KPI entre les différentes directions.

  • Accompagner les utilisateurs métiers : adoption, formation, recueil des retours.

  • Contribuer à l’identification de cas d’usage IA à valeur ajoutée, en appui des équipes dédiées.

Profil recherché

  • 5 à 8 ans d’expérience, dont au moins 3 ans en tant que Product Manager ou Product Owner Data.

  • Maîtrise de la gestion de produit data : discovery, priorisation, roadmap, pilotage de backlog.

  • Solide culture data : SQL, modélisation de données, BI (Power BI, Tableau), architectures cloud (Azure, Databricks, Snowflake…).

  • Connaissance des enjeux métiers :

    • finance : reporting, pilotage de la performance ;

    • retail : ventes, stocks, performance des boutiques ;

    • supply chain : flux, stocks, délais.

  • Pratique des méthodes agiles (Scrum, SAFe).

  • Anglais courant, à l’écrit comme à l’oral.

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