Manufacturing Data, Data Engineering, and AI/ML Capabilities Lead

This role leads the strategy, governance, and delivery of manufacturing data, data engineering, and AI/ML capabilities to drive secure, cost-effective, and business-aligned analytics outcomes. The position involves overseeing data acquisition, architecture, access, tools, and operational processes while scaling Databricks data engineering capabilities. It requires managing data ingestion priorities, resources, and service metrics to align with Division Engineering and business goals. The role also focuses on promoting enterprise data engineering standards and evolving architecture for future business and technology needs.