Manager, Data Architecture

At Ford Motor Company we believe freedom of movement drives human progress. We are shaping the future of mobility through connected vehicles intelligent products and data-driven decision-making - and data is foundational to that future.

Fords Global Data Insights & Analytics organization enables the enterprise to transform data into trusted reusable and actionable products. We partner with business product engineering analytics and AI teams to make Fords data easier to discover understand govern and use at scale.

As a Cloud Data Architect you will work across domains to translate business outcomes into scalable secure governed and reusable data designs. You will establish architecture patterns and guardrails guide teams through onboarding and implementation and ensure data products are built with the quality interoperability semantic context and operational rigor required for enterprise use.

• Define and evolve cloud data architecture patterns standards reference architectures and roadmaps in partnership with Data Product Management Enterprise Architecture platform engineering governance security and domain teams.
• Partner with business and technology stakeholders to translate strategic business needs into scalable data architecture data-product and integration designs.
• Guide teams in designing and implementing trusted reusable discoverable and well-governed data products.
• Develop and govern conceptual and logical data models for enterprise and domain data products.
• Establish standards for data modeling naming schema design data contracts lineage metadata master/reference data data quality and lifecycle management.
• Drive adoption of metadata-management and semantic capabilities including the use of ontology-based business rules and semantic models where appropriate to support analytics and AI/agentic use cases.
• Partner with domain teams to understand their data landscape assess architecture readiness identify capability gaps and define practical improvement plans.
• Serve as an architecture advisor and trusted point of contact for teams navigating the enterprise data ecosystem helping connect them to the appropriate platform product governance and enablement partners.
• Define and promote reusable architecture patterns that reduce duplicate data movement improve interoperability and enable self-service consumption.
• Ensure architecture designs meet requirements for security privacy compliance resiliency observability data quality and cost optimization.
• Review solution designs and provide architecture guidance throughout the delivery lifecycle balancing enterprise standards with business speed and practical implementation needs.
• Collaborate with engineering teams to improve the usability and adoption of platform capabilities by identifying recurring customer friction handoff gaps and onboarding challenges.
• Evaluate emerging cloud data metadata semantic and AI technologies and recommend where they can create value for Ford.

• Communicate architecture decisions tradeoffs standards and roadmaps clearly to both technical and non-technical audiences.

Minimum Qualifications

• Bachelors degree in Computer Science Data Engineering Information Systems Analytics or a related field or equivalent professional experience.
• 3 years of experience in data architecture data engineering solution architecture or a related technical role.
• Experience designing and delivering modern cloud-based data platforms pipelines or data products in GCP AWS Azure or a comparable cloud environment.
• Strong experience with data modeling including conceptual logical and physical models for operational analytical and event-driven use cases.
• Experience with structured semi-structured and unstructured data; relational and NoSQL data stores; and data lake lakehouse warehouse and data-mesh/data-product concepts.
• Strong SQL skills and experience using Python Java Scala or similar languages for data processing automation and integration.
• Experience with distributed data-processing and streaming technologies such as Apache Spark Kafka Pub/Sub Dataflow Flink or comparable services.
• Experience with data governance metadata management data lineage data quality security and privacy practices.
• Ability to influence across organizational boundaries and work effectively with product managers engineers data stewards domain leaders and executive stakeholders.
• Strong written verbal and visual communication skills including the ability to communicate complex architecture concepts in clear business terms.

Preferred Qualifications

• Experience with Google Cloud Platform data services including BigQuery Cloud Storage Pub/Sub Dataflow Dataproc Composer Dataplex Data Catalog and related services.
• Experience designing event-driven and real-time data architectures.
• Experience defining data contracts reusable data-product standards and domain-oriented data architecture practices.
• Experience with semantic technologies ontologies knowledge graphs or enterprise semantic models that enable trusted business rules and AI/agent use cases.
• Experience with data cataloging metadata platforms and data observability tools.
• Experience with DevSecOps infrastructure as code CI/CD automated testing and architecture-as-code practices.
• Experience supporting AI machine learning generative AI or agentic AI solutions through well-governed data and semantic foundations.
• Experience in a large complex enterprise environment with diverse business domains legacy systems and modern cloud platforms.

• Automotive manufacturing mobility financial supply-chain or connected-product data experience.