Data & Analytics Product Owner - Supply Chain (M/F)

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.