Recrutement Salutech

Senior Data Product Manager - European Datahub H/F - Salutech

  • Courbevoie - 92
  • Indépendant
  • Salutech
Publié le 11 septembre 2026
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Les missions du poste


What they need

Context

Saint-Gobain is currently implementing SAP S/4HANA across its European operations. As a Data Product Manager, you will lead assessments and studies related to the Data & Visualization workstream of this strategic transformation program.

The objective is to design, structure, and deliver a portfolio of data products, data models, and reporting solutions that address European business requirements while ensuring alignment with Saint-Gobain's Data & Analytics strategy, architectural standards, and governance principles.

Missions

  • Define and specify the future Data & Reporting model based on SAP S/4HANA
  • Assess the impacts of the transformation on existing legacy systems, reports, and analytical solutions
  • Support business stakeholders throughout the transition from SAP ECC to SAP S/4HANA
  • Help define and execute reporting and analytics strategy leveraging the new data model
  • Organize the study and gather elements from all stakeholders
  • Understand business ambition, stakes, and goals
  • Organize and lead workshops with business teams
  • Collect all business inputs required for the study
  • Document functional architecture
  • Perform data modeling and design Business Layers (Silver layer)
  • Organize Data As a Service contributors (Technical Architect, Data & BI Engineers)
  • Document solution value
  • Prepare build/run budget and planning

Tools & Environment

  • SAP S/4HANA
  • Power BI (strong experience required)
  • Data Platforms and Data Warehouses
  • Data & BI products and solutions
  • Data modeling and exploratory data analysis
  • SQL

Working Conditions

  • Mission duration: 3 months
  • Profile level: Senior
  • Languages: Excellent communication in French & English

Le profil recherché

Profile wanted

  1. Excellent communication in French & English
  2. Exploratory Data analysis, data modeling
  3. Understanding of the end-to-end data life cycle (from source to visualization)
  4. Holistic knowledge of the Data & BI products in their scope
  5. Strong experience and knowledge of Power BI is essential
  6. Strong experience with Data Platforms and Data Warehouses (DW)
  7. SAP knowledge
  8. Rigorous application of assessment and scoping methods, organization
  9. Customer oriented
  10. Team player
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