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Ford Motor Company

Builds vehicles for drivers and commercial fleets

Consulting Architect - AI-Enabled Supply Chain

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeDearborn, MI, USA

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, supply chain management, or a related field is required; a master's degree is preferred.
  • At least 5 years of demonstrated experience in the automotive or manufacturing industry, focused on supply chain technologies and processes.
  • At least 5 years of experience in enterprise architecture, consulting architecture, solution architecture, or technology strategy leadership roles.
  • Experience leading large-scale business and technology transformation initiatives.
  • Strong understanding of enterprise architecture frameworks and methodologies.
  • Deep knowledge of integration architecture, application programming interfaces, event-driven architectures, cloud-native design, and distributed systems.
  • Experience with SAP S/4HANA and supply chain business processes.
  • Experience designing data and analytics architectures using modern enterprise platforms.
  • Experience architecting artificial intelligence, machine learning, generative artificial intelligence, or intelligent automation solutions in enterprise environments.
  • Familiarity with modern artificial intelligence engineering ecosystems, cloud artificial intelligence services, and data science platforms.
  • Ability to influence executive, business, and technical audiences.
  • Strong facilitation, negotiation, and organizational leadership capabilities.
  • Must be legally authorized to work in the United States; employment eligibility verification is required at hire.

Responsibilities

  • Develop and maintain enterprise architecture strategies aligned with supply chain business objectives and transformation priorities.
  • Define future-state business capabilities, operating models, information architectures, and technology roadmaps.
  • Lead architecture governance and solution reviews to ensure alignment with enterprise standards and strategic direction.
  • Partner with business leaders to identify opportunities for modernization, simplification, automation, and innovation.
  • Advise on technology investments, architecture decisions, and transformation initiatives.
  • Architect intelligent supply chain solutions that enable sensing, prediction, recommendation, and autonomous action across supply chain operations.
  • Design architectures integrating operational systems, enterprise data platforms, analytics, machine learning, generative artificial intelligence, and agentic artificial intelligence capabilities.
  • Define approaches for artificial-intelligence-powered planning, inventory optimization, logistics visibility, supplier collaboration, risk management, and operational decision support.
  • Guide adoption of emerging technologies, including generative artificial intelligence, agentic artificial intelligence, digital assistants, predictive analytics, and intelligent automation.
  • Lead architecture for enterprise data products, semantic models, integration platforms, application programming interfaces, event-driven architectures, and analytical ecosystems.
  • Establish scalable patterns connecting SAP S/4HANA, Blue Yonder and other supply chain platforms, manufacturing systems, cloud services, and enterprise data platforms.
  • Drive strategies to improve end-to-end visibility, data quality, governance, and business insights.
  • Collaborate with engineering teams to enable real-time and near-real-time decision-making capabilities.
  • Partner with product, engineering, data, analytics, and platform teams to solve complex business and technical challenges.
  • Lead architecture reviews and technical decision-making, balancing scalability, performance, maintainability, security, and cost.
  • Prototype and evaluate emerging technologies and architecture patterns to accelerate innovation.
  • Provide technical leadership throughout the solution lifecycle, from concept and proof of value through production deployment.
  • Mentor architects and engineers through design reviews, coaching, and collaborative problem-solving.
  • Define cloud-native architecture strategies leveraging Azure, Google Cloud Platform, and modern platform capabilities.
  • Establish architectural patterns for application programming interfaces, microservices, event-driven solutions, data pipelines, analytics platforms, and artificial intelligence workloads.
  • Collaborate with platform teams to improve engineering productivity, operational resilience, and deployment velocity.
  • Promote modern engineering practices, automation, and DevSecOps principles.
  • Ensure architecture decisions align with enterprise security, privacy, regulatory, and compliance requirements.
  • Embed security-by-design and responsible artificial intelligence principles into solution architectures.
  • Promote architecture standards, governance processes, and reusable patterns across the organization.

Desired Qualifications

  • A master's degree is preferred.

About the Company

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Ford Motor Company designs and builds vehicles for individual drivers and commercial fleets worldwide, spanning Ford trucks and SUVs and Lincoln luxury models. Its Mustang sports car and Bronco off-road vehicles sit alongside gasoline, hybrid and electric products. The company sells vehicles, parts and accessories through dealers, while Ford Pro combines commercial vehicles with fleet software, charging and maintenance services; Ford Credit earns money from customer and dealer financing and leases. Connected services add subscriptions for vehicle features and business operations. Founded by Henry Ford in 1903, the company is headquartered in Dearborn, Michigan.

Company size
10,001+
Company stage
IPO
Headquarters
Dearborn, MI
Founded
1903

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