• Identification, evaluation, and prioritization of AI use cases across clinical, nursing, administrative, and support processes
• Design and implementation of AI pilot projects (PoC, MVP) and transition into operational hospital workflows
• Ensuring a robust data foundation for AI by analyzing and advancing data sources, flows, and models
• Co-design of data architecture, data platforms, and interfaces, ensuring compliance with data protection, information security, and data governance standards
• Development and management of an AI use case and data portfolio, including roadmap, dependencies, and management reporting
• Close collaboration with clinical departments, Data & Analytics, ICT, and external partners to successfully deliver data-driven initiatives
• Monitoring and evaluation of emerging AI technologies and translation into actionable opportunities for the hospital
• Bridging clinical/business needs, data, and technology to enable sustainable AI transformation in healthcare