Director, Data Engineering and Architecture

At Ford, we believe freedom of movement drives human progress. To support this, we are transforming our data into an active, self-optimizing engine. This Director role will drive AI Readiness across the EDP by establishing engineering excellence, architectural standards, runbooks, and skills that all teams can leverage. This role is a critical enabler for the rest of the skill team and company, requiring a leader who can navigate the complexities of our enterprise-scale data.

You will lead teams in defining how data is ingested, transformed, and represented within the EDP. You will partner closely with other leaders to build a platform that is self-healing, cost-efficient, and capable of supporting autonomous systems that can query, reason, and execute tasks. This is a role for a strategic thinker who is comfortable discussing semantic ontologies, distributed systems, and the organizational change required to lead a large-scale data transformation.

Ford Motor Company is seeking a director-level leader to help guide the evolution of our Enterprise Data Platform (EDP) into an AI-Ready future. As a key leader within Global Data Insight & Analytics (GDIA), you will define the technical foundations and scalable pipelines that allow Ford to harness petabytes of enterprise data. You will lead a high-performing organization of engineers and architects to ensure our data is captured, processed, and structured ready for the next generation of autonomous AI agents.

* Define the Vision for AI Readiness:
Establish and document the enterprise standards for AI-Ready data, including semantic integrity, automated metadata tagging, high-fidelity pipelines, etc.

* Drive Platform Evolution & Modernization:
Proactively identify and champion the adoption of next-generation technologies and cloud-native patterns. Act as a strategic catalyst for transitioning the EDP toward higher-maturity operating models, ensuring Ford remains at the cutting edge of data and AI innovation

* Design and Build for Agentic Intelligence:
Work cross-functionally within EDP to design and build data for AI agents to interpret without human intervention while ensuring consistency and context across the enterprise.

* Collaboration & Leadership:
Lead and mentor an organization of Data Architects and Engineers. Working within the Data Platform and Engineering team to ensure solutions are scalable and executable.

* Privacy & Compliance by Design:
Ensure development patterns enable Ford's rigorous commitment to data security and global privacy regulations.

* Define the Vision for AI Readiness:
Establish and document the enterprise standards for AI-Ready data, including semantic integrity, automated metadata tagging, high-fidelity pipelines, etc.

* Drive Platform Evolution & Modernization:
Proactively identify and champion the adoption of next-generation technologies and cloud-native patterns. Act as a strategic catalyst for transitioning the EDP toward higher-maturity operating models, ensuring Ford remains at the cutting edge of data and AI innovation

* Design and Build for Agentic Intelligence:
Work cross-functionally within EDP to design and build data for AI agents to interpret without human intervention while ensuring consistency and context across the enterprise.

* Collaboration & Leadership:
Lead and mentor an organization of Data Architects and Engineers. Working within the Data Platform and Engineering team to ensure solutions are scalable and executable.

* Privacy & Compliance by Design:
Ensure development patterns enable Ford's rigorous commitment to data security and global privacy regulations.