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Data & Analytics Product Owner - Supply Chain (M/F) (Suresnes, FR, 92150) @ Groupe Bel

Suresnes, Île-de-France, FROnsiteFull-time
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About this role

The Bel Group is a major player in the food industry through portions of dairy, fruit and plant-based products, and one of the world leaders in branded cheeses. Its portfolio of differentiated and internationally recognized brands includes The Laughing Cow®, Kiri®, Babybel®, Boursin®, Pom'Potes® and GoGo squeeZ®, as well as some 30 local brands. Together, these brands helped the Group generate sales of €3.74 billion in 2024. Do you want to join a company with strong brands that puts consumers and responsibility at the heart of the decision-making process? Then Bel is made for you! Are you bold, pragmatic, and determined? Do you want to contribute to the transformation of an international agri-food company? Them come join us and measure the impact of your talent and energy in realizing an ambitious and sustainable company project!

  • #IWorkForAllForGood Context and Role As part of a permanent recruitment, we are looking for a dynamic and proactive Data & Analytics Product Owner to support the development of products dedicated to Supply Chain activities.
  • The team provides users with three categories of Data & Analytics products addressing Supply Chain challenges: ready-to-use reports , certified data models for self-service analytics, and standardized data products that contribute to the Group’s data assets.
  • You will join the Product Management department as part of the operation product management team.
  • You will work closely with Data Engineering, Data Analytics, Data Science, and Data Governance teams to ensure the consistency, quality, and business value of delivered solutions.
  • As the bridge between business stakeholders and technical teams, you will be responsible for the following activities: Main Responsibilities Gather, analyze, challenge, and clarify business requirements from Supply Chain teams, particularly in demand planning, procurement, inventory management, logistics, and operational performance.
  • Translate business needs into clear functional specifications and user stories , while contributing to technical specifications and data modeling . Build, prioritize, and maintain the product backlog in collaboration with key stakeholders.
  • Contribute to the definition of product roadmaps and ensure delivery against agreed milestones.
  • Prepare and facilitate workshops required to scope, monitor, and deploy products.
  • Contribute to testing , user acceptance , and the production rollout of new products and enhancements.
  • Ensure the quality of deliverables and promote a shared understanding across business, data, and technical teams.
  • Organize and lead quarterly governance meetings with functional senior management to review and prioritize domain activities.
  • Desired Profile We are looking for someone who: Has proven experience in Product Ownership within a Data & Analytics environment.
  • Understands the principles and challenges of data governance . Can produce clear, well-structured deliverables tailored to different audiences.
  • Collaborates effectively with business, data, and technical teams.
  • Demonstrates excellent communication , synthesis, and vulgarisation skills.
  • Ideally has a good understanding of Supply Chain processes and challenges, including demand forecasting, planning, procurement, inventory management, transportation, and logistics.
  • Technical Skills Experience with Agile methodologies and proficiency in a project or backlog management tool such as ServiceNow and/or Jira . Knowledge of data processing platforms and tools such as Google Cloud BigQuery , Snowflake , or Databricks . Basics in SQL language Strong Power BI skills Power BI . Soft Skills Excellent interpersonal skills and a team-oriented mindset.
  • Ability to explain technical concepts clearly to non-technical stakeholders.
  • Well-organized, proactive, and able to prioritize effectively.
  • French & English – Professional Education and Experience Master’s degree (Bac+5) from an engineering school, business school, or equivalent university program.
  • At least 3 years of experience in data, product management, or project management.

Skills

Product OwnershipData GovernanceAgile MethodologyServiceNowJiraGCP BigQuerySnowflakeDatabricksSQLPower BIsupply chainDemand Forecasting

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