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Data product owner m/f

Ixelles
LittleBigCode
Product owner
De 45 000 € à 55 000 € par an
Publiée le 25 octobre
Description de l'offre

As a Product Owner/Product Manager specializing in Data and Artificial Intelligence projects, you will be responsible for managing the product roadmap, defining features, and prioritizing tasks in a data and technology-driven environment. You will work closely with technical teams (data scientists, engineers, etc.) as well as internal stakeholders to ensure that projects meet business requirements and deliver tangible value. Main Responsibilities: Product Lifecycle Management: Define the vision and strategy for data and AI products in collaboration with internal stakeholders (Marketing, IT, etc.). Create and maintain a product roadmap aligned with the company’s strategic objectives Prioritize features and ensure effective backlog management Coordination of Technical Teams: Collaborate with data scientists, engineers, and analysts to ensure products meet user needs and business expectations Ensure clear communication between technical and non-technical teams Ensure projects meet deadlines and predefined quality criteria Design of Data-Driven Solutions: Identify business needs and formulate solutions using advanced data technologies, including AI, machine learning, and predictive analytics Develop features that enable data collection, processing, and analysis to gain insights and provide relevant recommendations to end users Data Analysis and Decision Making: Collect and analyze user data to make informed decisions on feature development Measure product performance based on defined KPIs (e.g., adoption, engagement, profitability) Collaboration with Stakeholders: Ensure ongoing communication with internal teams and stakeholders to understand their needs and expectations Provide regular updates on project progress, risks, and results achieved Technology Monitoring and Innovation: Stay up-to-date with the latest innovations in data, AI, and emerging technologie Propose innovative solutions to address business challenges and optimize processes

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