Data Product Manager - Core Data Product (f/m/d)

Our Core Data Product team, within the Data CoE (Data Center of Expertise), is looking for a Data Product Manager in Paris

DECATHLON is accelerating its transformation to become THE global sports digital platform. Digital and AI are the drivers of our 2026-2030 ambition to make sport sustainably accessible. At the heart of this strategy, data is our most critical asset. Our challenge? To make it accessible, trustworthy, and actionable in order to make it available to the business and strategy

YOUR FUTURE CONTRIBUTION

You will be responsible for defining the vision and roadmap of a Data Product, indirectly managing a team of data engineers. Your mission will be to make data easy to access and trustworthy to support the business in making data-driven decisions!

Your main responsibilities:

1. Data Product Strategy & Vision
   Roadmap Definition: Design and manage the roadmap for data products (algorithms, dashboards, data APIs, AI platforms).

Business Alignment: Ensure that data initiatives meet the company's strategic objectives (e.g., churn reduction via machine learning, price optimization, etc.).

Opportunity Identification: Identify use cases where data can create a competitive advantage or improve internal efficiency.

1. Data Lifecycle Management
   Collection and Infrastructure: Collaborate with Data Engineers to ensure data pipelines are robust and sources are reliable.

Governance and Quality: Ensure that data is clean, consistent, and compliant with regulations (GDPR). You will be the guarantor of the "truth" of the data disseminated.

Democratization: Make data accessible and understandable for non-technical users across the organization.

1. Cross-functional Collaboration
   Technical Interface: Translate business needs into technical specifications for Data Scientists and Data Engineers.

Stakeholder Support: Educate decision-makers (Marketing, Sales, Management) on the potential and limitations of data.

Agility: Manage the development of data models in an agile manner (sprints, A/B tests, rapid iterations).

1. Performance Analysis and Measurement
   KPI Definition: Establish success indicators not only for the final product but also for model performance (precision, recall, data latency).

Impact Analysis: Measure the concrete return on investment (ROI) of implemented data projects.

1. Ethics and Security
   AI Ethics: Ensure that developed algorithms are not biased and respect the company's ethics.

Security: Ensure that access to sensitive data is secure and controlled.

TECHNICAL SKILLS

Data Product Strategy & Management
Data Governance & Compliance
Business Modeling
Data Architecture
Agile Methodologies
Backlog Management
SQL, Python (for data validation & automation)
Visualization Tools (Tableau, Looker, Power BI, etc.)
AI/ML Integration and ability to manage predictive models.
Data Governance frameworks and compliance knowledge (GDPR, CCPA).
Real-Time Data Integration (APIs, Kafka, Streaming).
Data Modeling, Business Intelligence Tools (Tableau, Power BI).
SQL, Python, and familiarity with data platforms like Databricks and Snowflake.

WHAT YOU BRING

Your recent experiences have allowed you to develop a strong interest in cloud and data-related issues, while consolidating your knowledge in product lifecycle management (PLM).

• You have at least 3 to 5 years of experience in Product Management in an international and technical context.
• User-centric: You master Design Thinking and know how to translate complex business needs into fluid user journeys.
• Impact-driven: You have a strong sensitivity to ecology and environmental ethics.
• Analytical: You are comfortable with technical data and complex impact calculations.
• Sporty: You are passionate about sports and want to put your talent to work for its sustainable practice.

WHAT WE OFFER YOU

• Hybrid work organization;
• Possibility to work in one of Decathlon Digital's offices in Lille.
• Equipment provided in line with your missions and our societal commitments (Mac or Windows);
• A local project team within a global network (possibility of international career);
• Skill development and support (diversity of projects, technical certifications from the first year, internal and external training, etc.);
• Compensation package (employee participation in company shares, monthly/quarterly bonuses).