Ford Motor Company

Manager

• Establishing the sprint mandate and problem statement with key stakeholders
• Structuring sprint workstreams for all team members, including leading analysis and development of insights and implications of decisions
• Managing the project infrastructure (project plans, team engagement model, delivery of project against timeline)
• Managing sprint team delivery of the recommendation, coaching, and providing feedback to support continued development
• Owning the overall recommendation to the GM teams, being the key expert across the different components of the analysis
• Engaging with key business leaders and business functions to identify high priority sprint topics
• Managing and prioritizing the sprint portfolio and backlog
• Tracking impact of sprints vs. overall objective
• Supporting development of advanced analytics tools and providing specific use cases
• Implementing Yield Management best practices and tools into the core operations of the business
• Developing technical and leadership skills of team members

Senior Manager, Yield Management – Sprints

SDET

• Contribute, improve, and maintain robust automation frameworks and test scripts for in-vehicle infotainment systems, encompassing both hardware and software aspects.
• Implement and execute automated tests across various layers, including UI validation and application logic.
• Develop and extend automated test suites using Python and Pytest for functional, integration, and system-level testing.
• Integrate automation scripts into CI/CD pipelines using Jenkins and GitHub Actions to enable continuous testing and provide rapid feedback to development teams.
• Create test cases, test plans, and test execution within Testrail, ensuring comprehensive test coverage and traceability.
• Collaborate closely with development, hardware, and software teams to understand requirements, identify test gaps, and troubleshoot complex issues.
• Develop and maintain sophisticated test environments, including hardware setups and software configurations necessary for IVI testing.
• Analyze test results, report defects with clear, reproducible steps, and provide detailed logs to support the debugging process.
• Contribute to the continuous improvement of QA processes, automation strategies, and overall product quality for Ford's IVI systems.

Test Automation Engineer

AI Engineer

• Help design, develop, and productionize AI-driven solutions for analytics products
• Partner with data scientists and business stakeholders to improve efficiency and business impact
• Embed AI capabilities into existing analytics products
• Develop intelligent interfaces for exploring model results
• Build AI tools for enhanced interpretability of outputs
• Lead efforts for data integration and scalable AI pipelines
• Collaborate with product teams to translate reliability problems into AI-driven solutions

AI Engineer – Reliability & Warranty Analytics

Systems Engineer

• Lead the design, development, and integration of fluid-based thermal management loops.
• Lead the architecture, design, and development of coolant subsystems that interact with HV battery, drive unit, power electronics, refrigeration, and HVAC components.
• Define detailed thermal and hydraulic performance specifications for individual components (e.g., pumps, valves, heat exchangers, fans, hoses, degas bottles, etc.) within the coolant subsystem.
• Work with application engineers to evaluate and select appropriate components based on performance requirements, cost, packaging constraints, and reliability targets.
• Develop, calibrate, and maintain high-fidelity plant models that accurately simulate thermal and hydraulic behavior of the subsystem's components.
• Conduct detailed thermal and fluidic analysis to ensure components meet specified performance targets under various operating conditions.
• Collaborate with test engineers to define and execute component and subsystem characterization tests to validate and refine plant models.
• Work closely with the Design Engineers to ensure component designs meet thermal and mechanical requirements, and with the Controls Engineer who will use the plant models for algorithm development.
• Ensure traceability between high-level system requirements and detailed component specifications.

Thermal Systems Engineer

Program Manager

• Oversee an organization’s quality assurance and control systems to ensure that products and services meet established standards.
• Development and implementation of quality management systems, procedures, and policies crucial for maintaining consistency and reliability.
• Act as the primary lead for ensuring that a specific vehicle program meets all quality targets, from the initial concept phase through launch and into the hands of the customer.
• Lead the implementation and standardization of the Quality Operating System (QOS) across all North American manufacturing sites.
• Support VO plants in achieving ISO/TS16949 compliance and resolving quality system and product-related issues.
• Track and analyze internal/external QPIP indicators including warranty data and JD Power scores.

Quality Program Manager, VO/PTO

Engineer

• Support the development and execution of audio tuning strategies for various vehicle platforms.
• Tune vehicle audio systems to deliver a superior in-vehicle audio experience.
• Collaborate with key internal and external cross functional stakeholders including hardware engineers, software developers, and vehicle design teams to deliver seamlessly integrated audio solutions into vehicle systems.
• Develop analysis methods and conduct acoustic measurements to verify and maintain sound quality and performance against design specifications and standards.
• Be a resource for model engineering teams and technical expert for in-vehicle acoustics and audio systems, assisting in issue troubleshooting, program delivery, and continuous improvement/benchmarking initiatives.
• Develop and maintain documentation and best practices within Ford systems for audio system specifications, tuning parameters, tools and validation results.
• Stay up to date on the latest advancements in audio technologies, automotive audio trends, and acoustic measurement and vehicle tuning techniques.
• Support the validation of high-performance automotive audio DSP systems (including signal flow, tuning blocks, tuning tool, etc.) to deliver best-in-class performance and audio system sound quality from concept through production.

Audio Tuning Engineer

• OTX Development: Author and develop global Body/Chassis/Electrical (BCE) service routines using Open Test Exchange (OTX) standards, incorporating Java coding where appropriate.
• Requirements Integration: Interface directly with Product Engineering to interpret new system requirements and implement robust, reliable diagnostic routines.
• Data & Protocol Management: Analyze and manage Controller Area Network (CAN) data to support application development, testing, and debugging.
• Module Diagnostics: Implement Module Diagnostic Identifiers (DIDs) to support datalogger functionality as a primary diagnostic solution.
• Testing & Validation: Validate diagnostic solutions using both software-in-the-loop simulation and hands-on, physical on-vehicle validation.
• Specification Alignment: Collaborate with Design and Release (D&R) engineers to resolve system issues and anomalies within Part 2 specifications.
• Field Problem Resolution: Partner with the Technical Assistance Center (TAC) to investigate, troubleshoot, and resolve critical diagnostic issues in the field with a high sense of urgency.
• Launch & Delivery: Manage the quality, on-time development, and delivery of service information for New Model North American vehicle programs.
• Supplier Collaboration: Act as the technical liaison between Product Development, Quality, and Service Information Suppliers to ensure seamless delivery.
• Continuous Improvement: Review, track, and resolve publication concerns and improvements for both current and past model vehicle programs.

Service Function Diagnostics Engineer

Business Development Rep

• This leader will be responsible for developing business case and decision criteria for Ford Racing Niche Programs and customization efforts.
• This is an opportunity to get in at the very start of a new area of focus within Ford Motor Company and specifically for Ford Racing. This position will be directly involved with the pinnacle products in Ford’s portfolio.
• This opportunity will have significant visibility with Ford senior leaders and potentially with new or existing outside partners.

Supervisor, Racing Niche Program Business Development

Strategy

• Lead market research and competitive benchmarking to assess "white space" opportunities, including organic growth and M&A
• Translate high-level strategy into actionable roadmaps, ensuring the business has the right operating model to execute
• Serve as the strategic lead for critical external partnerships, defining the commercial logic and long-term roadmap that will enhance Ford Pro’s ecosystem of products and services
• Proactively monitor and respond to industry trends, regulatory changes, and technological advancements to ensure our strategies remain competitive
• Analyze complex data sets to extract actionable insights; build the financial and operational models that underpin capital decisions
• Collaborate across other business units (such as Ford Customer Service Division, Integrated Services, Ford Credit) to develop strategy and define roadmaps
• Translate insights and business cases into concise, compelling narratives for senior management and stakeholders in order to influence key decisions

Senior Manager, Business Strategy – Transformation

• Responsible for the design and release of Cockpit and Trim applications for programs throughout all phases of the product development process including Studio, Design, Validation and Launch.
• Design, develop, validate, and release automotive systems, subsystems, and components for FSS/Build-To-Print Suppliers for assigned programs.
• Monitor the development of Interior Systems for Ford vehicles according to company-specific benchmarks.
• Design parts in order to comply with Corporate and Local requirements for parts validation, considering the WCR (Worldwide Customers Requirements), ES (Engineering Specifications) and SDS (Systems Design specifications) as well as the Manufacturing and Assembly requirements.
• Translate customer, regulatory, and product requirements into engineering targets.
• Monitor suppliers and analyze customer feedback through Ford's systems.
• Responsible for parts incorporation at the Assembly Plant.
• Support suppliers and assembly departments with current production quality and manufacturing issues.
• Look for design improvements to increase quality and cost / weight optimization.
• Create CAD using 3DX / Catia to develop proposals and effectively communicate with our CAD Team.

Product Development Engineer – Cockpit and Trim Applications

Data Scientist

• As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
• You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
• You will collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop metrics, develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable via Google Cloud Platform to optimize the delivery of value.
• Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.
• Familiar with LLM orchestration workflows like Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.
• Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.
• Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
• Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
• Working with data scientists to define AI strategies, understand requirements, and implement solutions.
• Testing, validating and monitoring AI models in production scale to ensure reliability.
• Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.
• Accelerate the application of value-added analytics and machine learning into the portfolio of products for supplier risk team.
• Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
• Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
• Act as a consultant to the business vs. an order taker.

Senior Data Scientist – AI Specialist

Designer

• Design Coordination: Develop project brief in partnership with delivery team; Responsible for project timelines and resource deployment for on time/on budget delivery; Coordinate digital and environmental design for seamless integration.
• Design: Produce and coordinate design concepts, presentation material, technical solutions, mock-ups, FFE, brand, exhibit and artwork; Integration of design research and "Return On Experience"; Liaison with external agencies, Ford business partners, GDE partners; Center of excellence for human-centered design and design research; Global retail design standards and guidelines including program-specific design intent documents.

Manager, Experiential Design

Security Engineer

• Lead and Develop: Direct, develop, and mentor a high-performing team of 12 cybersecurity engineers, setting technical direction, priorities, and execution expectations to support Ford's global vehicle programs.
• Requirements Ownership: Lead authorship of, and approve cybersecurity requirements for in-vehicle networks, connected features, and electronic control modules to establish robust security baselines across the vehicle ecosystem.
• Drive Secure-by-Design: Act as a senior SME to guide secure-by-design implementation across multiple vehicle architectures, and work closely with our offboard team on backend, and cryptographic security.
• Manage Design Trade-offs: Partner with engineering teams to translate complex cybersecurity requirements into system architecture, advising on design trade-offs balancing security, safety, performance, and cost.
• Collaboration: Work closely with peers and staff in other areas of the Product Cybersecurity organization, as well as Product Creation and Industrialization.
• Global Alignment: Collaborate with Ford global teams and joint ventures with other automotive OEMs to align cybersecurity practices, standards, and risk postures globally.
• Cryptographic & Key Management: Partner across in-vehicle, In-Vehicle Security Services (IVSS), and cloud teams to support PKI, key management, and cryptographic design for the connected vehicle ecosystem.
• Regulatory Compliance: Ensure connected vehicle systems align with industry standards and regulatory frameworks, specifically ISO/SAE 21434 and UNECE R155/R156.
• Industry Representation: Represent Ford's connected vehicle cybersecurity interests in internal governance forums and external consortia, such as the SCMS (Security Credential Management System) Manager Consortium, and 5GAA.
• Validation & Testing: Coordinate and prioritize the team's cybersecurity Verification & Validation (V&V) strategy and risk-based testing to effectively validate production vehicle security controls.
• Vulnerability Management: Guide vulnerability management and incident response activities, including the coordination of third-party penetration testing and the remediation of findings in production systems, and binary scanning of software for connected vehicle modules.

Connected Automotive Cybersecurity Manager

• Perform vehicle software flashing on modules, support vehicle bring-up, and debug module, network, and software issues using diagnostic tools such as Ford Campground, Ford DET, and CANalyzer.
• Own development tasks from problem definition through solution design, build, validation, and documentation.
• Translate incoming engineering issues, ideas, or system needs into clear technical requirements and actionable plans.
• Design and implement practical engineering solutions across vehicle systems, instrumentation, diagnostics, and prototype hardware/software interfaces.
• Support hands-on vehicle development activities, including troubleshooting, instrumentation, system integration, and build coordination.
• Investigate technical issues by separating symptoms from root cause, identifying constraints, and recommending viable corrective actions.
• Develop and maintain clear engineering documentation, including requirements, design intent, build notes, test findings, fitment results, issue logs, and open items.
• Coordinate with engineering teams, technicians, suppliers, and program stakeholders to close technical gaps and move work forward.
• Communicate status, risks, dependencies, and decisions needed in a concise and timely manner.
• Ensure completed work can be understood, repeated, maintained, or transitioned by other engineers or technicians.
• Identify when issues require escalation, additional resources, or program-level decisions.

Senior Vehicle Integration Development Engineer

Solutions Engineer

• To define the SAP OTC architecture and solution design strategy, ensuring alignment with business objectives, enterprise architecture principles, and Clean Core standards. Evaluate, design, and govern end-to-end solutions across SAP S/4HANA, SD, FI/CO, MM, EWM, BTP, Datasphere, SAC, Fiori, while enabling seamless integration with third-party platforms such as Adobe, Vertex, and OpenText, and Ford's enterprise cloud ecosystem including GCP, Apigee, Cloud Run, BigQuery, and IICS.
• To partner with product and delivery teams to define Functional Specifications and solution designs that align with SAP Clean Core principles, minimizing custom development and maximizing the use of standard SAP capabilities.
• To collaborate with stakeholders with enhancement requests and proposed solutions, ensuring alignment with enterprise architecture standards, governance policies, and SAP best practices.
• To jointly assess the architectural impact of new business requirements across processes, integrations, data models, applications, and the broader enterprise landscape, and to co-design scalable, supportable solutions that align with strategic architecture direction and standards.
• To collaborate with product teams on design changes to existing configurations to ensure continued uninterrupted operations.
• To evaluate custom solutions within the SAP ERP landscape to ensure alignment with enterprise architecture principles and SAP best practices.
• To deliver the technical design to data analytics, integration fabric, security and cyber defense, hosting, and client infrastructure.
• To provide architectural guidance for enterprise integration using APIs, middleware platforms, and cloud technologies, including Google Cloud Platform (GCP), ensuring scalable, secure, and standards-compliant solution designs.
• To provide architecture support such as troubleshooting complex performance issues.
• To guide the product teams in the development of the SAP ERP implementation of platform reference patterns and best practices.
• To lead the vendor architecture evaluation and hands-on proof-of-concept (PoC).
• To influence future product development by contributing to the framework (architecture) used across multiple products or systems.
• To ensure compliance with security, audit, regulatory, and data governance requirements across SAP solutions and integrations.
• To operate effectively in a fast-paced environment, managing multiple priorities and deliverables simultaneously.