Requirements: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field 7+ years of professional experience with 5+ of those years designing and implementing enterprise-scale data architectures, with expertise across modern cloud/data platforms, data engineering, analytics, AI/ML, Generative AI, and/or emerging AI technologies 3+ years of experience leading architecture for large-scale platform modernization or technology transformation initiatives (i.e., GenAI, Agentic AI), influencing technical decisions across multiple teams in complex, matrixed organizations Other: Advanced degree is preferred Don't meet all the qualifications listed under "other"? It partners closely with Enterprise Architecture, Global Nestlé Architecture, Platform Engineering, Data Engineering, Product Management, AI/ML teams, and other technology stakeholders to advise on architecture and technology decisions, govern architectural choices, identify opportunities and risks, and drive adoption of approved capabilities.