Data Scientist & Product Owner

Job description

You’ll be focused in: In order to succeed, you’ll need - Developing a clear product vision for AI applications aligned with corporate strategy - Building and maintaining an AI product backlog - Defining and managing roadmaps for AI products - Identifying and prioritizing high-impact business use cases - Translating business requirements into technical specifications - Conducting gap analyses on data availability and quality - Working closely with data scientists, engineers, business stakeholders, and external partners (e.g., McKinsey, appliedAI) - Facilitating workshops for ideation and requirements gathering - Communicating product vision and progress to stakeholders - Understanding machine learning, MLOps, data architectures, and model validation - Supporting the selection of appropriate algorithms and tools - Ensuring compliance with data protection and regulatory requirements - Supporting organizational change processes - Developing training and enablement programs for users - Scaling successful AI products across markets or business units - Proven experience in product management, ideally in data/AI - Knowledge of agile methodologies (Scrum, SAFe) - A solid technical understan...