This leader will bring a product-minded, automation-first, Infrastructure-as-Code (IaC) platform engineering discipline to every layer of Ford''s data estate, own Database-as-a-Service (DBaaS) and fit-for-purpose database architecture patterns for Product Development Organizations (PDO), drive consolidation and cost optimization of SaaS database products, and define Ford''s Agentic Data Cloud patterns - including database MCP servers, Knowledge Catalog, and Conversational Analytics - for consumption by application teams. Ford is seeking a visionary Director, Cloud Platform Engineering - Data, Analytics & Agentic Data Cloud to own strategy, architecture, and engineering of Ford''s cloud database and analytics platforms - built on Google Cloud Platform (GCP) services including Cloud SQL, Spanner, AlloyDB, BigTable, Firestore, and BigQuery.