Data Product Owner B2B (W/M)

CDI
Issy-les-Moulineaux
Télétravail fréquent
Salaire : Non spécifié
Expérience : < 6 mois
Éducation : Bac +5 / Master
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Edenred
Edenred

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Le poste

Descriptif du poste

You will be reporting to the Head of Data-AI Program & Strategy at Group level, with a dotted line to the marketing and sales team.

YOUR MISSIONS

The Data Product Owners act as a link between business needs and the data squads by prioritizing high-value features, and will rely on their knowledge of the business context and operational experience, they represent the business needs for the use case, translating translate Business needs or pain points into an appropriate Data Product.

You will be responsible of:

  • Represent the business needs for the use cases - Is the day-to-day representative of the Business Owner

  • Translate business needs & pain points into requirements and continuously makes sure the solution is relevant from a business standpoint

  • Manage the entire lifecycle from the ideation phase, through development, to deployment and impact monitoring (usage, ROI…)

  • Oversee the delivery of the squad (prioritizing feature development, organizing demos, and integrating user feedback...)

  • Ensure the Product is reusable across different BUs and is proactive on the prerequisite to reusability (Data Assets, Data Quality, Process Convergence)

  • Engage with experts when needed (security, compliance…) and coordinates with the Tech Lead to ensure relevance and integration of the Data Products into the Tech environment

YOUR PROFILE

  • Combine deep business knowledge at the operational level (user journeys, processes, market trends…), good kowledge of Data specificities (sources, models, quality, compliance, security…) and tech sensitivity (existing tools, make or buy decisions...)

  • Strong product management methodologies and tools ; user-centered design skills

  • Excellent communication skills

  • Excellent analytical skills, data visualization skills are a plus

  • Leadership and collaboration

  • Ability to understand the complexities and to prioritize key Data initiatives

  • 5+ years of experience

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