Data Engineering Manager

Ford Motor CompanyDearborn, MI
$132,800 - $250,800

About The Position

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. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success. At Ford Motor Company, 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. 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.

Requirements

  • Design, develop, and maintain enterprise data architecture.
  • Unify commercial customer data across Vehicles, Service, Software, and Ford Credit.
  • Develop real-time and batch data pipelines.
  • Manage GCP infrastructure.
  • Ensure code quality.
  • Oversee integrations with downstream systems like Salesforce and Marketing Cloud.
  • Architect data foundations to support AI monetization.
  • Implement predictive analytics.
  • Implement cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
  • Implement "Policy as Code."
  • Implement machine-readable data contracts.
  • Implement data quality observability.
  • Implement strict privacy controls (GDPR, CCPA, PRO ID management).

Responsibilities

  • 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).
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