As a Consultant Product Owner specialized in Intelligent Products, you will be responsible for the design, implementation and evolution of digital products that integrate machine learning and AI capabilities. You will work closely with business and IT teams to translate strategic needs into concrete solutions.

Key responsibilities: - AI Product Strategy: identify stakeholder needs and opportunities to integrate AI (automation, conversational agents, decision support, etc.) to maximize business value. - Agile Delivery Management: own and track the full lifecycle of projects; actively participate in Agile ceremonies (Daily Scrum, Grooming, Sprint Planning) and ensure clear communication between IT teams and Product Owners across domains. - Backlog & Documentation: translate requirements into backlog items (User Stories, Epics, Story Mapping) and prioritize according to the product roadmap. - Quality & Adoption: define and oversee testing phases (data preparation, UAT, bug tracking) and provide production support. - Innovation & Monitoring: propose approaches and technologies aligned with emerging AI market trends. - Product Evolution: after initial launch, maintain and evolve modules and participate in new projects as needs arise.

Qualifications: - Degree from an engineering school or a Master 2 in Computer Science with at least 2 years of experience in digital project management. - General skills: strong analytical and synthesis abilities, proactive problem-solving, i

As a Consultant Product Owner specialized in Intelligent Products, you will be responsible for the design, implementation and evolution of digital products that integrate machine learning and AI capabilities. You will work closely with business and IT teams to translate strategic needs into concrete solutions.

Key responsibilities: - AI Product Strategy: identify stakeholder needs and opportunities to integrate AI (automation, conversational agents, decision support, etc.) to maximize business value. - Agile Delivery Management: own and track the full lifecycle of projects; actively participate in Agile ceremonies (Daily Scrum, Grooming, Sprint Planning) and ensure clear communication between IT teams and Product Owners across domains. - Backlog & Documentation: translate requirements into backlog items (User Stories, Epics, Story Mapping) and prioritize according to the product roadmap. - Quality & Adoption: define and oversee testing phases (data preparation, UAT, bug tracking) and provide production support. - Innovation & Monitoring: propose approaches and technologies aligned with emerging AI market trends. - Product Evolution: after initial launch, maintain and evolve modules and participate in new projects as needs arise.

Qualifications: - Degree from an engineering school or a Master 2 in Computer Science with at least 2 years of experience in digital project management. - General skills: strong analytical and synthesis abilities, proactive problem-solving, i