Responsibilities

• 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 c...