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Senior Data Product Manager

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2 to 4 weeks

Onsite, Hybrid

Senior Data Product Manager

LittleBig Connection (part of Mantu)

Senior Data Product Manager

Skills

SQL QueriesTableauProduct ManagementDatabricksdbtSalesforce Analytics Cloud

18 days ago

Exclusive opportunity

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Important information


Contract type:

Freelance

Daily rate:

590€/jour

This job is at 0% commission 🎉

Location:

Paris, France

Starting date:

2 to 4 weeks

Work mode:

Onsite, Hybrid

Published on:

12 August 2026

What they need


Context

A Senior Data Product Manager at a leading organization is pivotal in driving the development and success of data-driven products that meet the evolving needs of customers and business.

You will act as a vital link between business objectives, user experience, and technical execution, ensuring that data products deliver value and innovation.

You will be responsible for developing a portfolio of Analytics solutions and dashboards within the circular economy domain, especially focusing on the rental business model.

You are a highly analytical and collaborative Product Manager with a strong product methodology background and deep expertise in AI, analytics, and retail consumer journey. You have a good knowledge and understanding of data opportunities for both tech and business sides. You can effectively partner with Data Engineering to develop a sustainable and scalable data foundation to support data solutions. You leverage your expertise to define product vision and strategy, understanding deep customer needs through data, and translating these insights into product features and enhancements. Your role involves close collaboration with cross-functional teams, including data analysts, BI engineers, data engineers, data governance, and business stakeholders such as product, engineering, and design, to prioritize and develop product roadmaps that align with sustainability goals.

If you are passionate about leveraging data to solve problems, possess a keen ability to distill complex concepts into clear product requirements, and thrive in a dynamic, fast-paced environment, this role is for you. The position offers a unique opportunity to lead the development of products that are at the forefront of data technology and analytics.

Missions

As a Senior Data Product Manager, you will be expected to:

  • Possess a strong understanding of data technologies, architectures, and analytics platforms to guide the technical development of data products.
  • Have experience with data modeling, analysis techniques, and predictive modeling, with the ability to work closely with data engineers to implement these into product features.
  • Define and articulate product vision and strategy, translating complex data insights into clear, user-centric product features.
  • Develop and maintain detailed product roadmaps, prioritizing features and initiatives based on business impact, customer needs, and market trends.
  • Lead cross-functional teams through product development cycles, from ideation to launch, ensuring that products meet quality standards and customer expectations.
  • Leverage your supply expertise and work closely with business, product, engineering, and design teams to identify needs and prioritize and develop product roadmaps that align with company goals.
  • Communicate effectively with stakeholders at all levels, presenting product plans, progress, and performance with clarity and confidence.
  • Champion a data-driven culture within the organization, advocating for the importance of data in decision-making processes and product development.

Tools & Environment

  • Agile development methodologies and tools (e.g., JIRA, Confluence) to manage product development cycles.
  • Data visualization tools such as Tableau.
  • Analytics platforms including Databricks and dbt.

Working Conditions

  • Location: Paris or Lille
  • Daily rate (TJM): 590€

Profile wanted


  1. Proven experience in product management, specifically in developing data products or analytics solutions
  2. Familiarity with Agile development methodologies and tools (e.g., JIRA, Confluence) to manage product development cycles
  3. Strong analytical skills, with experience in using data visualization tools (Tableau) and analytics platforms (Databricks, dbt) to inform product decisions
  4. Strong understanding of data technologies, architectures, and analytics platforms
  5. Experience with data modeling, analysis techniques, and predictive modeling
  6. Expert level in Product management and Agility
  7. Confirmed level in SQL, Innovation management, and Tableau
  8. Bilingual English proficiency

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