POSTE : Data Product Owner H/F DESCRIPTION : Position Snapshot - Location : Issy-les-Moulineaux - Activity Rate : Full-Time - Type of contract : Permanent contract Position summary Nestlé Zone Europe is looking for a Data Product Owner to support the deployment of the PFME module of a marketing analytics product (Marketing & Sales Cockpit). Current and planned product features encompass data driven marketing modules related to marketing campaign evaluation and budget optimization. The product is already deployed in France, Spain, the UK, Italy and Turkey, coming soon to Germany and Switzerland. The position will report to the M&S Cockpit deployment lead for Zone Europe. Main responsibilities - Product Deployment : Support Product Manager in product's success, being accountable for its overall performance, and help in decisions that drive its deployment and adoption. - Raise the quality of data ingested in our Data Warehouse. - Monitor results of the data science models deployed and measure their impact. - Partner with business teams to help them ramp-up with our software and offer insights. - Perform ad hoc analyses in data analytics according to needs. - Innovation & Strategy : Collect learnings on processes and automation wherever possible to improve data quality and speed of model refresh delivery. Propose innovative solutions based on user needs. - Collaboration Across Teams : Work closely with internal stakeholders (Global, Zone Europe and Country) and coordinate with external collaborators (group resources, consultants, media agency) to get projects across the finish line. The role can BE partially remote and there will BE flexibility. Preferred experience & skills - Master's degree in Science or Business. - 1-3 years of experience in data or product management with strong organizational skills required given the breadth of the product's scope. - Strong analytical skills and deep passion for digital adoption. - Some experience with Python & SQL programming a plus to perform functional code reviews. Knowledge of PowerBI a plus. - Previous experience in Marketing or with Optimization solutions welcomed. - Proactive, collaborative and able to influence stakeholders. - Great communication skills & fluency in English. As deployment is across Europe, most meetings and presentations must BE delivered in English. What we offer at Nestlé - Flexible work policies in terms of core hours and working from home. Please talk to us during the recruitment process about what flexibility would look like for you ! - Genuine opportunities for career and personal development - Modern smart office locations providing agile & collaborative workspaces - Dynamic international working environment Application process After applying, if your application is selected, we will contact you to offer : - An interview with someone from the recruitment department - If your application is successful, an interview with your future manager, followed by other interviews with members of the Data ZEUR team - A live business case may BE proposed during your interviews. \_ Aperçu du poste - Issy-les-Moulineaux, France - Temps plein - CDI Résumé du poste Nestlé Zone Europe recherche un(e) Product Owner Data pour accompagner le déploiement du module PFME d'un produit d'analyse marketing (Marketing & Sales Cockpit). Les fonctionnalités actuelles et prévues du produit couvrent des modules d'analyse de données marketing, liés à l'évaluation de la performance des campagnes média et à l'optimisation des budgets. Le produit est déjà déployé en France, Espagne, Royaume-Uni, Italie et Turquie, et sera bientôt disponible en Allemagne et en Suisse. Le poste est rattaché au responsable du déploiement du M&S Cockpit pour la Zone Europe. Responsabilités principales - Déploiement du produit : Soutenir le Product Manager dans la mise en oeuvre de la roadmap, être responsable de la performance du produit et contribuer aux décisions favorisant son adoption. - Améliorer la qualité des données intégrées dans notre Data Warehouse. - Suivre les résultats des modèles de data science déployés et mesurer leur impact. - Collaborer avec les équipes métier pour faciliter leur montée en compétence sur notre solution et fournir des insights. - Réaliser des analyses ponctuelles en data analytics selon les besoins. - Innovation & Stratégie : Capitaliser sur les apprentissages des processus et automatisations pour améliorer la qualité des données et la rapidité de mise à jour des modèles. Proposer des solutions innovantes basées sur les besoins utilisateurs. - Collaboration inter-équipes : Travailler en étroite colla