The Finance Data Architect closes that gap by owning two interconnected capabilities: building and governing finance-ready semantic models and curated datasets drawn from Q2's full data estate, and authoring the AI workflow infrastructure — skills files, agent prompts, MCP context layers, and documentation — that allows Finance to execute complex, recurring processes repeatably and at scale. Demonstrated ability to design and structure AI workflow infrastructure: including building prompt libraries, authoring agent skills or context files, or structuring MCP / retrieval-grounding layers OR a proven track record of rapidly acquiring and applying emerging technical capabilities in a production environment .