Collaborate with cross-functional teams to define and implement the enterprise-wide semantic layer, aligning it with AI capabilities.
Ensure semantic assets are machine-consumable and policy-aware, supporting AI use cases such as RAG (Retrieval-Augmented Generation) and decision-making workflows.
Influence senior management on integrating semantic strategies into AI roadmaps, driving innovation in data-driven AI solutions.
Lead the development of platforms that support semantic data modeling, metadata management, and lineage tracking for scalable AI applications.
Oversee modernization efforts to replace outdated systems with robust semantic platforms.
Foster a culture of excellence in engineering across global teams, ensuring consistent application of semantic principles.
Ensure compliance with enterprise standards and frameworks governing AI use cases,...