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Ford Motor Company

Builds vehicles for drivers and commercial fleets

Manager – Manufacturing & Industrial IoT

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeDearborn, MI, USA$141.7k - $268.3k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience.
  • At least 12 years of overall technology experience, including leadership of large-scale application, platform, or digital transformation initiatives.
  • At least 8 years of experience leading engineering teams, developing technical leaders, and delivering complex programs.
  • At least 7 years of experience in manufacturing technology, industrial systems, or Industrial Internet of Things platforms.
  • At least 5 years of experience defining technology strategy and roadmaps for cloud-based platforms, data pipelines, or application ecosystems.
  • At least 5 years of experience with enterprise cloud platforms, application architecture, and system integration, preferably including Google Cloud Platform.
  • At least 5 years of experience partnering with manufacturing operations and senior business and technology leaders to deliver standardized, scalable solutions.
  • High proficiency in manufacturing and development in a modern web technology stack, specifically Angular, Java, Spring Boot, and MongoDB.
  • High proficiency with web-based application architecture design patterns.
  • Skill managing application data housed in MongoDB and SQL, including MySQL, Google Cloud Platform BigQuery, and Microsoft SQL Server Management Studio.
  • Proficiency creating and communicating design specifications using tools such as Figma.
  • High proficiency designing technical platforms, including microservices/API-driven architectures, service capabilities, and application relationship management.
  • Experience with application integration design, implementation, testing, and scaling.
  • High proficiency in inter- and intra-application system design thinking.
  • Skill in algorithm design.
  • Familiarity and proficiency with modern publish/subscribe architecture patterns, especially as applied to manufacturing.
  • Experience with Google Cloud Platform capabilities at enterprise scale.
  • Skill with service-monitoring tools similar to Splunk and Dynatrace.
  • Proficiency with artificial intelligence and machine learning concepts, especially as applied to manufacturing.
  • In-depth familiarity with vehicle assembly operations.
  • In-depth familiarity with drivetrain and component manufacturing operations, including engine, transmission, gears, and component operations.
  • In-depth familiarity with stamping operations, including press room, blanking, and sub-assembly operations.
  • Extensive understanding of the technology footprint across manufacturing facilities, including device ecosystems, network architecture, server/computer room capabilities, and application implementation strategy.
  • Extensive understanding of legacy and newly developed applications required to operate manufacturing facilities across varying regions and business units.
  • Extensive experience working with manufacturing personnel, from hourly operators and supervisors to plant management and Plant Managers, in technical and non-technical capacities.
  • Extensive experience working with senior centralized manufacturing leadership to define, design, and build standardized software applications.
  • Extensive understanding of manufacturing data structures, standards, and insight profiles required for day-to-day and strategic operations.
  • Experience leading teams in a deadline-driven working environment.
  • Skill navigating undefined and unclear requirements to reach alignment across organizations.
  • Ability to develop strong business relationships to support integration and collaboration between IT and Manufacturing business leads.
  • Experience explaining complex technical situations in language manufacturing and IT leadership can understand.
  • Experience speaking to large groups and conveying clear, understandable messages.
  • Experience developing high-performing teams.

Responsibilities

  • Set and drive the multi-year strategy and roadmap across the platform and applications, aligning them with manufacturing leadership priorities.
  • Build and maintain a prioritized backlog of platform capabilities, working with three leads to sequence work for maximum customer business value.
  • Decide which technologies and systems to sunset, consolidate, or modernize as new technologies emerge; minimize platform costs and own transition plans.
  • Align organizational engineering goals with broader business objectives and the product roadmap, and drive execution against committed milestones and release timelines.
  • Step in hands-on when needed to prototype solutions, unblock migrations, or work through architecture decisions alongside the team.
  • Lead, coach, and grow three engineering leads across the IIoT data pipeline, Ford Production System Zone, Department of Plant Control Centers, Staffing Assignment, and Surface Quality products.
  • Own staffing and hiring for the organization, ensuring teams have the headcount and skill mix needed to deliver their roadmaps.
  • Build a high-performing, globally distributed organization; recruit, mentor, and develop technical talent at all levels.
  • Create a culture in which teams treat the Manufacturing Business as customers, measure adoption, gather feedback, and iterate as a product organization.
  • Partner with senior engineering, security, and business leaders across the enterprise to define future-state technology stacks, platforms, and ecosystems, and establish organizational KPIs and business indicators for performance and quality.
  • Represent the portfolio to engineering leadership, translating platform investments into business outcomes such as velocity, reliability, cost, and risk reduction.
  • Engage directly with engineers across the organization to identify pain points, validate solutions, and build trust in the platform team as an enabler.
  • Champion communication standards developed jointly with the business Controls organization to preserve scalability and avoid data silos.
  • Drive adoption of the standard technology stack across ET, ATP, and plant solution development while balancing productivity, code quality, security, and governance.
  • Evaluate emerging technologies, cloud services, and vendors, with a strong preference for Google Cloud Platform, and make build-versus-buy decisions appropriate for scale.
  • Define and track performance, adoption, and business-value metrics to demonstrate impact and prioritize the roadmap.

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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