Data Engineering Manager

Data Engineering Manager Location: Dearborn, MI, United States; Hybrid PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit. Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud. Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini. Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management). Why This Role Matters As the definitive source of truth for Ford Pro’s commercial customers, PRO 360 is the engine behind Ford Pro’s growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success. About Us At Lumen Dynamics, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation. About the Organization We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves. Data Engineering Manager – PRO 360 Product Group We are seeking an experienced Data Engineer, to drive the technical execution and architecture for PRO 360, FordPro’s customer data platform. This role is responsible for leading engineering pods to build robust cloud-native data pipelines on Google Cloud Platform (GCP), operationalizing advanced AI/ML and Agentic AI models, and enforcing strict data governance and privacy standards. The ideal candidate combines deep technical expertise in data engineering with hands-on experience in AI data readiness and enterprise data governance. This role demands a strategic technologist who will allocate their focus across Data Engineering, AI, and Data Governance.