Ford Motor Company

Supervisor

• Provide financial and analytical support to Corporate Strategy, Business Associations, the Segment CFO, and the Chief Financial Officer
• Support key alliances, partnerships and new business opportunities
• Develop financial models and business case analysis for Special Studies using Corporate Financial data and processes
• Perform ad hoc financial analysis as requested by the Corporate Strategy team or Segment CFO
• Provide analytical support for governance forums, including the Board and OCCE
• Interface cross-functionally with Ford Finance teams in PD, Engineering, M&S, FCSD, and GDI&A, as well as Business Units and Ford Credit
• Support Business Plan input for key alliances

Supervisor, Special Studies

AI Engineer

• Design, build, and maintain key components of Ford Credit's AI platform, including agent frameworks, platform services, developer tools, and deployment pipelines
• Build and enhance enterprise knowledge and context capabilities such as retrieval services, knowledge systems, shared memory, and agent integration services
• Partner with internal customers to deliver and support AI-powered solutions from concept through production
• Embed governance, security, observability, and compliance controls into the platform to support responsible AI development
• Create reusable templates, tools, documentation, and best practices that enable engineers to build and deploy AI solutions efficiently
• Contribute to architectural decisions, code reviews, and engineering standards to promote high-quality software development
• Collaborate with vendor and partner teams to ensure solutions align with Ford Credit standards and can be effectively operated and extended internally
• Work closely with product management, architecture, security, site reliability engineering (SRE), and developer enablement teams to deliver platform capabilities
• Build solutions that meet the requirements of a regulated financial services environment, including security, privacy, auditability, and data governance
• Help establish best practices for combining deterministic business processes with AI-driven capabilities in a transparent and auditable manner

Senior AI Engineer

Financial Planning and Analysis

• Serve as the operational and strategic anchor for the Marketing & Sales Finance Center of Excellence
• Drive matrix interactions, talent capability building, and large-scale finance modernization initiatives
• Lead, mentor, and upscale a high-performing CoE finance team supporting global M&S, FCSD, and Integrated Services
• Build a future-ready talent pipeline through cross-skill training, modern financial modeling, digital literacy, and business acumen development
• Foster an inclusive, high-accountability culture focused on strategic, forward-looking business insights
• Lead end-to-end Finance Modernization programs, including workflow automation, reporting standardization, and iERP/SAP S/4HANA implementation and adoption
• Partner with Global IT, Data & Analytics, and cross-functional teams to integrate modern financial tooling and self-service dashboards
• Champion AI fluency and digital adoption across finance workflows, including predictive forecasting, anomaly detection, automation, and GenAI use cases
• Establish and run benchmarking frameworks across M&S operational spend and finance processes to identify cost-efficiency and optimization opportunities
• Design and implement scalable global solutions harmonizing best practices across regions and functional lines
• Partner closely with the Global Structural Cost Controller to benchmark global processes and deploy next-generation capabilities across M&S Finance

General Manager – Global M&S Finance

Manager

• Own the Manufacturing LAN planning portfolio and establish priorities across new programs, plant expansions, modernization, technology refresh, and operational risk-reduction initiatives
• Lead and develop LAN planners while coordinating with network engineering, wireless, cellular, cybersecurity, network operations, regional technology teams, and suppliers
• Create plans, milestones, dependency and risk tracking, escalation paths, and executive reporting
• Manage supplier performance, resource capacity, statements of work, purchase orders, financial tracking, and planning deliverables
• Facilitate governance and planning forums to align initiatives with manufacturing and enterprise technology objectives
• Direct site assessments, requirements discovery, architecture reviews, site documentation, bills of materials, implementation planning, change requests, trade coordination, and project handoff
• Ensure MDF and IDF readiness, fiber and copper pathways, switching, wireless access points, power, space, environmental requirements, and operational prerequisites
• Coordinate network readiness with construction schedules, production milestones, launch timing, plant access, labor availability, and operational constraints
• Define installation and wireless coverage acceptance criteria, validation, documentation updates, asset records, and operational turnover
• Provide leadership during plant launches, major cutovers, technology refreshes, and production-sensitive network changes
• Partner with Manufacturing, Plant IT, Engineering, and Operations on connectivity for plant-floor applications and connected assets
• Plan network solutions for manufacturing equipment, material movement systems, vehicles, mobile devices, industrial endpoints, automation technologies, and emerging digital capabilities
• Coordinate indoor, outdoor, yard, and complex-area wireless requirements, including coverage maps, surveys, capacity, roaming, interference analysis, and device-growth forecasts
• Align technical designs with enterprise standards, security policies, and manufacturing operational requirements
• Review network changes for manufacturing risk, production impact, rollback readiness, validation, operational ownership, and recovery planning
• Use incident, change, inventory, monitoring, capacity, and site-readiness data to prioritize remediation
• Support troubleshooting, critical-issue response, production recovery, and lessons learned
• Improve planning standards, templates, automation, documentation quality, delivery consistency, risk management, supplier performance, and operational handoff processes

Manufacturing LAN Planning and Delivery Manager

Human Resources

• Manage incoming HR requests, chats, and phone calls
• Support employees, dependents, managers, HR management, government agencies, and applicants
• Guide employees through the full employee lifecycle, from hiring to leaving the company
• Prepare contracts, agreements, employment verification letters, and other employee documentation
• Maintain accurate HR database records for organizational changes and employee data
• Support employees and managers in using the HR portal and HR system
• Support HR Business Partners and People Leaders with reorganizational planning and implementation
• Accurately complete HR transactions and resolve customer inquiries using procedures, policy manuals, knowledge systems, and reference materials
• Document transactions, inquiries, and resolutions in the HR case management application
• Meet and exceed HR Contact Center KPIs
• Escalate requests requiring additional research or analysis
• Manage transaction controls through the audit process
• Identify risks and process gaps and collaborate on solutions
• Initiate and lead process improvement projects
• Support organizational change related to the company’s electric vehicle goals
• Perform other duties as required by the line manager

HR Associate, German-speaking

• Design, train, and deploy AI solutions, including classification, regression, clustering, and Generative AI workflows
• Develop and productionalize AI agents capable of multi-step reasoning, tool use, and integration with external APIs
• Architect and build production-ready integrations of AI/ML models into user-facing applications via RESTful APIs and microservices
• Build and maintain scalable data and ML pipelines for automated model training, deployment, and versioning
• Implement model monitoring and governance frameworks to track performance, drift, and reliability in production
• Use GCP services to build, host, and scale AI applications in serverless or containerized environments
• Collaborate within an Agile framework with Product Managers and other engineers to deliver business value for commercial customers

Technical Program Manager

• Own TPM execution support for Cabin Climate and Heated Seats features within the FNV3.x Platform
• Track delivery plans, dependencies, risks, and milestone readiness
• Create and maintain feature-level roadmaps and execution plans reflecting OKRs, quality priorities, capacity constraints, and program timing commitments
• Identify, assess, and communicate feature-delivery risks using structured problem-solving, data, and mitigation paths
• Use Jira and related reporting tools to track work, dependencies, milestones, readiness, delivery health, and cross-team risks
• Support planning cycles connecting feature strategy, capacity, execution plans, milestones, and measurable outcomes
• Coordinate governance forums, decision cadences, escalation paths, and change-control practices
• Escalate execution gaps, timing risks, dependency concerns, and decision needs
• Build alignment across engineering, product, platform, release, validation, safety, regulatory, and quality functions
• Communicate technical and program information to engineering and cross-functional audiences
• Define, track, and improve feature-level success metrics
• Perform impact assessments and support scope-change management
• Contribute to technical discussions involving feature behavior, system integrations, hardware, embedded software dependencies, and platform-level delivery
• Support scope-cost-time-quality tradeoff discussions with data, execution status, and risk visibility
• Surface risks early, address blockers, and pursue sustainable solutions
• Support teams through platform transitions using Ford Management System principles

Portfolio Technical Program Manager – FNV3.x Cabin Climate Control, Heated Seats

Data Scientist

• Partner with business stakeholders to understand challenges, define analytical approaches, and translate business requirements into data science solutions
• Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights
• Design, build, validate, and deploy machine learning and statistical models to support business decision-making
• Develop Generative AI solutions leveraging prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and large language models
• Build and deploy autonomous and multi-agent systems using Google Agent Development Kit (ADK), LangGraph, LangChain, or similar orchestration platforms
• Design scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness
• Support end-to-end model lifecycle activities, including problem scoping, experimentation, model training, evaluation, deployment, monitoring, and optimisation
• Ensure data quality, integrity, governance, and responsible AI practices throughout the analytics lifecycle
• Stay informed about emerging developments in machine learning, data science, Generative AI, and analytics methodologies, and apply relevant innovations to business challenges
• Communicate analytical findings and recommendations effectively to technical and non-technical audiences

General Counsel

• Provide legal advice and opinions on day-to-day matters across entities, departments, and functions in ASEAN and Direct Markets in the International Market Group
• Manage ongoing and new litigation matters across ASEAN/APDM, including supplier and labor litigation and the class action lawsuit in Thailand
• Draft, review, and negotiate legal and commercial contracts, letters, marketing materials, loan agreements, and other financial agreements
• Support labor advisory matters, HR teams, and union negotiations
• Advise finance and treasury teams
• Support compliance officers and monitor regulatory compliance across ASEAN markets
• Manage licenses for Ford and joint-venture entities in Thailand, including permit applications and compliance reporting
• Liaise with Ford representatives, Thai government authorities, global teams, and outside counsel
• Support Senior Counsel with complex legal transactions, legal advice validation, legal training, newsletters, and internal communications
• Translate internal legal documents between Thai and English
• Act as regional point of contact for Data Protection across ASEAN & APDM, including Thailand, Philippines, and South Korea
• Support the Global Data Privacy team on regional initiatives
• Monitor and advise on emerging Data Protection laws and regulatory changes
• Build a proactive Data Protection compliance capability through policies, training, and stakeholder advisory support
• Assess Data Protection risk, support data protection impact assessments, and advise on data handling, cross-border transfers, and incident response
• Report directly to Senior Counsel

Legal Counsel

General

• Coordinate regional DEI and employment compliance reporting in partnership with HR and Legal teams
• Monitor and interpret local DEI regulations, providing expert guidance on compliance requirements
• Identify and mitigate legal, operational, and reputational risks related to DEI initiatives
• Review local policies, training materials, and audits to ensure alignment with legal and corporate standards
• Ensure adherence to data privacy regulations, especially for employee self-identification programmes
• Act as a trusted DEI advisor to HR Business Partners, HR leaders, and people managers
• Support integration of inclusive practices across core HR processes
• Partner with Talent Acquisition to embed equitable hiring and onboarding practices
• Advise during organisational changes to ensure inclusion and fairness
• Support inclusive employee experience programmes across the region
• Lead execution of regional DEI programmes, including accessibility initiatives, workshops, and awareness campaigns
• Manage programme planning, tracking, and delivery against timelines and priorities
• Oversee regional DEI training deployment and act as a train-the-trainer where required
• Manage programme budgets and ensure compliance with financial policies
• Track outcomes and continuously improve programme effectiveness
• Partner with HR, Legal, Communications, Government Affairs, and Facilities
• Drive awareness and communication of DEI initiatives across the region
• Support consistent messaging aligned with global DEI strategy
• Build stakeholder relationships to foster an inclusive culture

Senior Specialist – Diversity, Equity & Inclusion

Engineer

• Design shipping containers to maximize CBM utilization in transportation
• Develop innovative packaging styles, materials, and technologies based on industry updates
• Benchmark packaging across North American, European, and IMG plants and incorporate best-in-world designs
• Use packaging design simulation tools to identify and standardize optimal packaging for each part
• Develop sustainable packaging solutions to achieve the lowest possible carbon footprint
• Liaise with suppliers, plant packaging teams, and purchasing functions to complete packaging sign-offs on time
• Prepare reports using standard formats during launch milestones
• Develop and execute assessment plans for supplier dunnage fleet calculators
• Verify inventory norms, shipping frequency, and transit times against Ford data
• Present packaging status and performance reports
• Set and achieve TVM targets through pack-density improvements, freight improvements, and packaging and part cost reductions

Packaging Engineer

Full-stack Engineer

• Design and develop responsive, performant web applications using Angular/React, TypeScript, and modern frontend frameworks
• Build scalable backend services and RESTful APIs using Spring Boot, Java, and microservices architecture
• Build reusable frameworks and collaborate with DevOps to ensure highly available, scalable, and fault-tolerant platforms
• Migrate legacy applications to GCP and modernize codebases using current frameworks
• Conduct code reviews and ensure adherence to standards, design patterns, and architecture principles
• Integrate GenAI capabilities and agentic workflows within the GCP ecosystem
• Design, develop, and deploy ML models using Python, TensorFlow, PyTorch, or scikit-learn
• Build end-to-end ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and deployment on Vertex AI
• Collaborate with product managers and stakeholders to translate business problems into AI/ML solutions
• Build observability with performance monitoring, logging, distributed tracing, operational and business metrics, and proactive alerting
• Participate in TDD, CI/CD, DevOps, Agile XP, testing automation, security practices, quality gates, and code coverage
• Work with data pipelines and GCP data services for analytical and ML workloads

Full Stack Software Engineer – Manufacturing Digital Engineering

• Design, maintain and evolve reusable, scalable test automation frameworks in Java and TypeScript
• Promote unit-test discipline and create contract, service-level integration, API and high-value end-to-end coverage
• Build low-flake Selenium and Playwright suites, including visual regression and practical self-healing approaches
• Embed automated testing into CI/CD to provide rapid quality signals
• Support test-data provisioning, masking, refresh and synthetic-data strategies in line with GDPR
• Improve test speed and reliability, investigate failures and resolve automation issues
• Create reporting on trends, risks and release readiness
• Evaluate AI-assisted testing and development tools, adopting effective solutions and explaining their value and limitations to stakeholders

Senior Test Lead

Supply Chain

• Own end-to-end sourcing strategy for critical spend areas across the UEV platform and follow-on advanced EV programs from strategy development through SOP
• Lead supplier selection, contracting, and ongoing cost, quality, and delivery performance
• Partner with engineering from concept through launch and align sourcing strategy with technical roadmaps, design freeze milestones, and prototype-to-production transitions
• Structure commercial agreements that protect program timing without sacrificing cost leverage
• Build first-principles should-cost models with cross-functional teams
• Set negotiation positions, evaluate quote submissions, and challenge supplier pricing line by line
• Lead make-vs-buy analysis
• Develop a resilient supply base by identifying and qualifying Tier 1 and Tier 2 partners across geographies
• Build dual-source and regional capacity strategies addressing raw material scarcity, geopolitical risk, and global trade and tariff changes
• Drive supply-chain automation and partner with suppliers on process automation and robotics
• Shape supply-chain tools and processes, including should-cost methodology, supplier and agreement management systems, and AI-enabled analytics

Global Supply Chain Manager

Risk

• Process manual requests received through the Data Activation Portal (DAP)
• Analyze customer and stakeholder needs to identify applicable privacy requirements and approval considerations
• Use GCP BigQuery, Alteryx, R, and Python to analyze data, identify trends, and support privacy and data-governance initiatives
• Use SQL, PostgreSQL, and MongoDB to extract, transform, and load data for analysis and reporting in alignment with data governance policies
• Collaborate with the Office of the General Counsel, Human Resources, Security, Risk Management, and Application Development
• Support the definition and implementation of privacy safeguards within a global data environment
• Support data-security requirements across Ford Credit, Marketing, Sales & Service, Product Development, and regional KPI and metrics initiatives
• Support GDPR and CCPA audits, OICs, access reviews, and related governance assessments
• Escalate privacy, data-use, and compliance issues and work cross-functionally to develop technical solutions
• Serve as a data governance subject matter expert
• Partner with data stewards to ensure compliant use of information
• Maintain knowledge of country- and region-specific data-security and privacy laws and regulations
• Provide feedback and recommendations to enhance Ford’s enterprise data governance model
• Improve data governance, privacy review, and approval processes
• Manage multiple workstreams while maintaining documentation, stakeholder communication, and timely execution