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Data Product Owner H/F

Entreprise
Localisation
Annecy - 74
Sur site
Type de contrat
CDI
Niveau
Confirmé
Rémunération
37,3–65,9 k€/an• Salaire annuelestimation

Salaire du marché

Médiane du marché
48k€
Estimation
43k€fourchette habituelle53k€

Cette offre n'affiche pas de salaire. D'après 116 offres pour ce poste (Confirmé, France), le marché se situe autour de 48k€ (43k€–53k€).

Salaire du marché pour Product Owner (Confirmé) en France : médiane 47 500 €/an, P25–P75 : 42 500–52 500 €/an, n = 116 offres. Salaire Data / SQL

Baromètre TJM et salaires IT

Description du poste

Les missions du poste


Amer Sports is a sporting goods company with internationally recognized brands including Salomon, Arc'teryx, Peak Performance, Atomic and Wilson.

The Mountain Sport Company, Salomon was born in 1947 in the heart of the French Alps and the birthplace of modern alpinism. Salomon's commitment to innovative design and passion for mountain sports created a vast range of revolutionary new concepts in bindings, boots, skis and apparel for both Alpine and Nordic skiing and brought innovative solutions to footwear, apparel and equipment for snowboarding, adventure racing, mountaineering, hiking, trail running, and many other sports.

Through performance driven design, Salomon delivers innovation and progression to mountain sports; converting new ideas into action and expanding the limits of possibility. Salomon's heritage, culture, and commitment are tied together by one simple concept: the world's leading mountain people creating the world's leading mountain products. Salomon is responsibly committed towards the outdoor through its sustainability program. Diversity is one of Salomon's five values, therefore we are committed to creating an inclusive environment for all.

Salomon is headquartered in Annecy, France.




As our Data Product Owner, you will own the full lifecycle of one or several data products, from framing the business problem to measuring adoption and iterating on real usage. Reporting to the Data Product Manager, you are the critical bridge between business strategy and the technical execution of the Data & Analytics team.

Frame the Business Challenge
Your main responsibilities will include:

- Mapping the "AS-IS" of business teams,current analytic solutions, data rituals and maturity
- Framing "TO-BE" business problems, key decisions and use cases
- Identifying stakeholders and Data Champions, and defining the right product solution type (Self-Service, Enterprise BI, AI)

Assess the Data in Depth

- Assessing granular data needs: sources, granularity, frequency, dimensions of analysis and KPI calculation logic
- Identifying access, visibility and privacy rules for sensitive data
- Performing preliminary QA on data quality and availability

Model and Prototype the Solution

- Understanding existing semantic models and their use cases
- Proposing conceptual and logical/physical data modeling ahead of engineering implementation
- Defining user journeys and building mock-ups validated directly with business stakeholders

Lead the Backlog and Delivery

- Consolidating needs into a manageable backlog, confirming Epics and writing detailed User Stories
- Prioritizing delivery based on business value, aligned with PI Planning
- Acting as functional squad leader: daily operational leadership of the technical delivery squad and Agile rituals

Deliver, Validate and Enable Adoption

- Validating solutions internally and orchestrating formal business UAT sessions
- Communicating releases to the business audience
- Training users through demos, showcases and comprehensive documentation

Measure Impact and Keep Improving

- Defining and tracking adoption metrics to assess real usage
- Measuring business impact against the initial "TO-BE" framing
- Building systematic feedback loops and feeding the backlog iteratively

Le profil recherché

You are a strong match for this role if you bring:4-6 years of experience as Data Product Owner, Data Product Manager, or in a similar product-facing data roleA proven track record owning data products end to end, from business discovery through UAT and post-release adoptionExperience running discovery with business teams and translating ambiguous needs into Epics and User StoriesExperience working within an Agile / PI Planning delivery modelStrong product & Agile mastery: backlog prioritization, PI Planning, User Story mappingAdvanced data architecture skills: ability to propose physical data models (e.g. Snowflake table structures)Strong SQL and BI proficiency, with hands-on experience building mock-ups in Power BI or TableauDemonstrated use of AI tools in a business context (Copilot, Claude or similar)

Bienvenue chez Salomon / Groupe Amer Sports

Amer Sports is a sporting goods company with internationally recognized brands including Salomon, Arc'teryx, Peak Performance, Atomic and Wilson.The Mountain Sport Company, Salomon was born in 1947 in the heart of the French Alps and the birthplace of modern alpinism. Salomon's commitment to innovative design and passion for mountain sports created a vast range of revolutionary new concepts in bindings, boots, skis and apparel for both Alpine and Nordic skiing and brought innovative solutions to footwear, apparel and equipment for snowboarding, adventure racing, mountaineering, hiking, trail running, and many other sports.Through performance driven design, Salomon delivers innovation and progression to mountain sports; converting new ideas into action and expanding the limits of possibility. Salomon's heritage, culture, and commitment are tied together by one simple concept: the world's leading mountain people creating the world's leading mountain products. Salomon is responsibly committed towards the outdoor through its sustainability program. Diversity is one of Salomon's five values, therefore we are committed to creating an inclusive environment for all.Salomon is headquartered in Annecy, France.

Exigences du poste

Compétences requises

  • SQL
  • Power BI
  • Tableau
  • Snowflake
  • GitHub Copilot
  • Anthropic Claude

Un plus

  • Alpine.js
  • Reporting / Dashboards
  • Business Intelligence
  • Artificial Intelligence
  • RGPD / GDPR
  • Backlog Management
  • Daily Standup
  • Agile
  • Modélisation de données
  • Data Quality
  • PI Planning
  • Product Management

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