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Data Product Owner - Lead Data Solutions (Hybrid)

Betclic Group

Bordeaux

Hybride

EUR 60 000 - 80 000

Plein temps

Il y a 7 jours
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Résumé du poste

A leading online gaming company is seeking a Data Product Owner to manage the lifecycle of data products and act as a liaison between technical and business teams. Candidates should have experience in product ownership with strong data analysis skills, alongside familiarity with data science models and Agile methodologies. This position offers a hybrid work model and attractive perks like health coverage, paid leave, and a supportive environment for professional growth.

Prestations

25 days of paid leave and 10 RTT days
Ticket Restaurant® card
100% health insurance for you and children
50% reimbursement of public transport
Hybrid work model
Vast training catalog access
Extraordinary office spaces
On-site sports classes and organized tournaments

Qualifications

  • Proven experience as a Product Owner managing data products.
  • Strong analytical skills centered on data.
  • Solid understanding of data science models and their deployments.
  • Familiarity with data visualization dashboards.
  • Proficient in Agile methodologies and SDLC.

Responsabilités

  • Oversee the entire lifecycle of Data Products.
  • Act as the primary point of contact between business and technical teams.
  • Translate business needs into actionable solutions.
  • Establish KPIs for product success.
  • Manage progress and updates of Data Products.
  • Collaborate on sprints and backlogs with cross-functional teams.
  • Drive innovative data solutions aligned with business goals.

Connaissances

Product Owner experience
Data analysis skills
Understanding of data science models
Knowledge of data pipelines
Experience with Agile methods
Fluent in English
Description du poste
A leading online gaming company is seeking a Data Product Owner to manage the lifecycle of data products and act as a liaison between technical and business teams. Candidates should have experience in product ownership with strong data analysis skills, alongside familiarity with data science models and Agile methodologies. This position offers a hybrid work model and attractive perks like health coverage, paid leave, and a supportive environment for professional growth.
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