Ford Motor Company

Data Engineer

• Data Requirement Gathering: Partner with supply chain functional leads, Internal Data Platform teams, and AI/ML engineers to elicit and document data requirements and translate them into scalable pipeline and schema designs, ensuring every dataset delivers measurable business value.
• Pipeline & Platform Engineering: Act as the primary technical lead for data foundation engineering. Design, build, and maintain ingestion, transformation, and storage pipelines that reliably deliver clean, structured, and timely data to downstream AI/ML consumers within the supply chain GCP space.
• Graph-Based Data Modeling: Work closely with Knowledge Graph engineering and AI teams to design, construct, and maintain ontologies and graph schemas against enterprise data sources, enabling decision-intelligence frameworks that proactively identify and mitigate risks across the global N-tier supplier network. Build and maintain the data pipelines that keep these graphs continuously updated with data from ERP, logistics, and supplier systems — the foundation for "what-if" scenario simulation using Generative AI and Graph analytics.
• AI-Driven SDLC Execution: Champion and implement AI-assisted development practices. Implement agentic workflows (e.g., AutoGen, CrewAI) and Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery with high code quality for the Decision Intelligence platform.
• Pipeline & DataOps Engineering: Design the "connective tissue" between source systems, Knowledge Graph updates, and model inference engines. Establish rigorous data validation, versioning, and observability frameworks. Maintain automated pipelines that ensure decision-support tools are always powered by the most current, high-quality data.
• Technical Standardization: Develop reusable data contracts, schemas, and ingestion patterns to ensure that data infrastructure can be scaled across multiple business units without redundant engineering effort.

AI Data Foundation Engineer

Cloud Engineer

• Define and mature security architecture patterns and reference architectures for cloud-native workloads on GCP.
• Provide day-to-day guidance to application teams migrating from legacy environments to a new Zero-Trust GCP segment.
• Conduct gap analyses and recommend remediations to raise security maturity.
• Translate Ford’s Information Security Policies (ISP) into actionable architecture guidance and guardrails.
• Establish “golden paths” for securing RPC endpoints, service-to-service auth, workload identity, runtime security, and logging.
• Design and document secure patterns for hybrid connectivity, ensuring safe data exchange and identity federation between on-premise data centers (including mainframe environments) and GCP.
• Develop a holistic security strategy for critical third-party SaaS applications, focusing on identity integration (SSO), data governance, and unified visibility.
• Partner with threat modeling, networking, and data architecture teams to ensure holistic, risk-balanced designs.

Cloud Architect

Mechanical Engineer

• Conduct benchmarking and packaging studies to determine optimal locations for electrical modules and systems within vehicles.
• Independently design attachment schemes and brackets for these systems.
• Utilize CAD software for comprehensive wiring harness design, including wiring optimization studies and the creation of detailed drawings.
• Work closely with the Electrical & Electronics Systems Engineering (EESE) team, providing support and developing innovative engineered solutions.
• Take technical decisions with D&R Engineers and suppliers as required.

Design Engineer

Analyst

• Manage and coordinate the inbound transportation network to ensure efficient and timely delivery of materials.
• Monitor premium freight movements, analyse root causes, and implement corrective actions to control costs.
• Oversee carrier performance through regular reviews, issue resolution, and continuous improvement initiatives.
• Prioritize Vehicle Off Road (VOR) and other critical parts to meet urgent operational requirements.
• Collaborate with suppliers, transport partners, and internal teams to minimize delays, improve service levels, and optimize overall supply chain efficiency.

Logistics Analyst

French

• Manage marketing/incentive programme setup in a dedicated system (MPS2) including programme writing, testing and checking against original intent of business paper
• Effectively communicate with Marketing/Sales/Finance/Campaigns Management Teams to be aware of all key issues
• Control dealer payments, check vehicle’s eligibility for Incentive/Variable Marketing Programmes
• Administer and process payment queries
• Process modifications of retail data in the relevant Ford system
• Assist Campaigns Management/Marketing/Sales/Finance with reports to effectively manage the marketing programmes – prepare sales and payment reports
• Actively participate in developing new processes/templates
• Ensure compliance with corporate requirements (lnternal Control)

Payment Incentive Coordinator, French-speaking

Technical Recruiter

• Conduct intake meetings with hiring managers to understand needs, ensuring alignment between job descriptions, and target candidate profiles
• Persistent pursuit of passive candidates via personalized reach-outs
• Be an advocate for DEI both internally and externally
• Conduct initial phone screens with candidates to assess suitability for positions
• Source high caliber active and passive candidates through various methods and tools, including networking, search tools, job boards, referrals, events, etc. Use your creativity!
• Partner with hiring managers to make offers and effectively hire highly sought after technical talent in a competitive market
• Regularly manage pipeline activity and maintain data integrity, and proactively share data-centric updates with internal stakeholders
• Establish and maintain meaningful relationships with management and key cross-functional stakeholders internally (e.g. Recruiting, HR, Compensation, and Diversity teams)
• Join projects related to employer branding presence and strategy

Contract Technical Recruiter

Collections

• Driving Product Outcomes: Collaborate intently with business operations stakeholders and cross-functional product teams to deeply understand the agent and customer experience. Translate this understanding into clear, concise, and actionable specifications, requirements (e.g., user stories), acceptance criteria, and testing scenarios.
• Shaping the Servicing Strategy: Work alongside key stakeholders to refine and execute the Ford Credit servicing strategy. Provide valuable input into the product roadmap, assisting with prioritization decisions and appropriate trade-offs between desired features, speed to market, and technical feasibility.
• Championing Agent & Customer Experience: Directly contribute to improving critical metrics like agent efficiency, customer Net Promoter Score (NPS), and First Contact Resolution (FCR) on key initiatives, including:
• - Providing a holistic customer view with relevant information to service customers efficiently and effectively, partnering with the Smart Secure Documents and Knowledge Management team to define and deliver solutions that simplify complex customer requests and educate agents on processes. User Research & Problem Solving: Proactively and creatively engage with users to uncover their underlying needs, pain points, and opportunities. Analyze these insights to identify problems and collaboratively define innovative solutions that leverage our servicing toolset.
• Data-Driven Decision Making: Analyze relevant data (customer feedback, usage metrics, operational data) to inform requirements, evaluate options, make smart, decisive trade-offs, and ensure delivered value is measurable.
• Outcome Ownership: Take responsibility for defined outcomes by contributing to setting clear goals and helping measure key results that align with product and business objectives.
• Quality Assurance Support: Support the delivery process by executing functional testing and collaborating with QA engineers to ensure solutions meet requirements and quality standards.
• Ability to closely work with key stakeholders in supporting Collections strategies and outcomes.
• Ability work with 3rd party vendors in driving key initiatives.
• Manage product backlog, track KPIs, support quarterly planning processes across multiple initiatives.
• Comfortable with ambiguity and use data to drive forward.

Product Manager, Early Collections

Executive

• Plan and execute security advances (site surveys, route/venue/threat assessments) for domestic and international principal movements and events
• Develop advance reports, security plans, and contingency protocols; audit and refine plans for effectiveness
• Provide close protection during movements and public engagements, including secure transportation with defensive/evasive driving
• Collect and analyze threat intelligence; identify and mitigate risks to the principal
• Coordinate logistics (travel, lodging, itineraries) and liaise with law enforcement, venue security, vendors, and cross-functional teams
• Deliver clear briefings and reports to leadership while maintaining strict confidentiality
• Remain on-call and flexible for irregular hours/travel; operate independently under pressure with sound judgment
• Perform duties under stressful conditions and in frequently ambiguous environments while maintaining composure and sound decision-making
• Available on-call, including evenings/weekends/holidays
• Able to travel domestically/internationally, often on short notice

Executive Protection Specialist

Manager

• Lead special projects from intake through completion, including scope definition, workplan development, milestone tracking, issue resolution, and final delivery.
• Manage detailed integrated project plans that include objectives, deliverables, timing, dependencies, owners, risks, decision points, and escalation paths.
• Coordinate cross-functional teams across business, operations, technical, customer-facing, finance, legal, purchasing, supply chain, field, and other support functions as required.
• Drive project governance through regular status reviews, action item tracking, risk reviews, escalation routines, and leadership updates.
• Establish clear roles, responsibilities, and accountability across project participants, ensuring each workstream understands expectations and deadlines.
• Manage demanding customers and stakeholders with professionalism, urgency, and transparency, especially when timelines are rigid, or issues require rapid resolution.
• Anticipate project risks, identify bottlenecks, and proactively develop mitigation plans to protect delivery timing and business outcomes.
• Facilitate working sessions, problem-solving discussions, and decision forums to align stakeholders and move projects forward.
• Prepare concise executive-level updates, including status summaries, key risks, decisions needed, help required, and next steps.
• Track project performance against committed timelines, deliverables, and success measures, ensuring accurate and consistent reporting.
• Lead issue resolution across teams when deliverables are delayed, requirements are unclear, or dependencies are not being met.
• Maintain strong documentation, including project plans, meeting notes, action registers, risk logs, decision logs, and post-project lessons learned.
• Support continuous improvement by identifying process gaps, simplifying workflows, and recommending repeatable project management practices.
• Represent the organization in customer and leadership interactions, reinforcing accountability, responsiveness, and execution discipline.

Manager, FCSD Special Projects

Buyer

• Manage cost, quality, and material efficiencies across the program lifecycle.
• Lead supplier relationship management and a proactive supplier engagement model.
• Develop strategies that support long‑term commodity viability and corporate objectives.
• Own program sourcing decisions and be the point‑of‑view (POV) lead for assigned programs, securing capacity, cost, timing, and ESG alignment.
• Deliver annual cost‑savings and distinguish opportunities from pure commercial leverage, design changes, and supply‑chain improvements.
• Analyze market supply/demand dynamics and identify supply‑risk mitigation strategies.
• Partner with cross‑functional strategic teams to assess supply‑base footprint, supplier financial health, emerging technologies, and market trends.
• Monitor industry trends, new assembly technologies, and supplier financial/footprint changes to inform strategy.
• Purchasing lead for internal Make vs Buy studies and Bailment Studies.

Module Buyer

QA Engineer

• Extract and analyze quality/warranty databases (Quality.Ai, J.D. Power, QNPS/CX.AI, Datacubes) alongside market trends (benchmarking, social media, web forums) to identify design opportunities.
• Analyze current model High Time in Service (HTIS) Exterior warranty trends (R/1000) and field service actions to author robust "lessons learned" portfolios, closing the quality feedback loop for forward model planning.
• Develop and maintain Exterior functional warranty and IQS roadmaps and deliver Quality Framework assessments at early milestones to secure program budgets and protect performance targets.
• Partner with the Design Studio and Design Technical Office (DTO) to review exterior surfaces (using Teamcenter, TCVis Mockup, 3DX) to incorporate execution enablers that meet customer satisfaction and warranty mitigation goals.
• Drive program compliance on Exterior Critical-to-Quality (CTQ) requirements, leveraging technical expertise and input from Exterior and Structural Systems Engineering Subject Matter Experts (SMEs).
• Act as the quality and warranty representative on vehicle program teams, driving functional delivery while supporting Program Feasibility Reviews, AAFs, VPATs, CPE DFs, and PEHF PATs.
• Assess perceived quality and determine customer/warranty impact (PP/100 or R/1000) for Meets Customer Expectation / Fails Customer Expectation (MCE/FCE) issues, as well as evaluating Total Value Management (TVM) cost-reduction proposals to protect product integrity.
• Lead collaborative efforts with the Forward Model Failure Mode Avoidance (FMA) Team and engineering functions to develop robust FMA plans targeting new technology and chronic warranty issues.
• Lead warranty-focused, cross-functional problem-solving efforts for developmental failures, launch issues, or early field concerns.
• Conduct targeted audits throughout the GPDS process to assess deliverable quality, identify systemic gaps, and coordinate with Product Development (PD) to implement Prevent Recurrence Actions (PRAs).

Forward Model Quality Engineer – Body Exterior

Operations

• Work with the Ascent and Pega tools and ensure the team is proactively working shortages and following case management for issues.
• Leverage your sense of urgency and responsiveness to plant needs to protect the daily and weekly schedules. Goal is to support existing operating plans and schedules without needing remix or incurring production losses.
• Act as change agent needing to find efficiencies in current state operations to allow the new tools to expand our horizon for evaluating supply risks.
• Find ways to improve processes to eliminate disruptions to Vehicle Operations.
• Provide communication and dimension of risk as needed to escalate to leadership as well as report on the issues with solutions and / or need for assistance.
• Work cross-functionally with other internal teams including Purchasing, Supplier Technical Assistance (STA), Supplier Operations Team (SOT), Product Development, and plants.
• Manage critical suppliers and the accountability to Ford supplier expectations and Global Terms.

Vehicle Operations Fulfillment Supervisor

Data Scientist

• Lead, mentor, a team of data scientists, fostering a collaborative and innovative environment.
• Provide technical guidance and oversight throughout the solution development lifecycle.
• Drive best practices in MLOps, model development, testing, and deployment.
• Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.
• Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
• Develop robust, scalable, and production-ready code for AI ML applications.
• Perform data exploration, feature engineering, model training, evaluation, and optimization.
• Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI ML solutions.
• Identify opportunities to leverage AI ML to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
• Debug and troubleshoot complex AI ML systems and data issues.

Data Science and AI Manager

• Lead design and configuration of Sales Scheduling Agreements (LPA/LP), including schedule line categories, release processing, cumulative quantities, and delivery relevance
• Design and implement EDI inbound integration for Planning (830) and Shipping (862) schedules
• Configure and validate IDoc processing (DELFOR / DELJIT) and coordinate with middleware teams
• Design and configure pricing procedures, condition types, and pricing determination for implementation scenarios
• Configure outbound delivery processes including delivery scheduling, shipping point determination, routes, and delivery splits
• Design and implement ASN outbound processing using DESADV IDocs
• Configure and validate Post Goods Issue (PGI) processes and logistics integration
• Design customer returns, scrap handling, and delivery discrepancy processes (short/over deliveries, damages)
• Prepare functional specifications, configuration documents, and solution design documents
• Execute unit testing, integration testing, UAT support, cutover, and go-live activities
• Collaborate with MM, FI, EWM, and integration teams during implementation

SAP SD Functional Consultant

Supply Chain

• Lead the 24x7 global production support of supply chain management IT systems.
• Define, monitor, and report on key operational metrics and performance indicators (e.g., Service Level Agreements (SLAs), Mean Time to Resolve (MTTR)). Use data-driven insights to identify trends, measure team performance, and report operational health to leadership and business stakeholders.
• Monitor and manage vendor Service Level Agreements (SLAs), drive accountability for deliverables, and escalate platform-level issues to ensure swift resolution.
• Oversee and enforce ITIL best practices—specifically Incident, Problem, and Change Management—to restore service rapidly while ensuring production changes do not introduce new issues.
• Leverage ServiceNow (for ITSM and Incident-to-Problem-to-Change tracking) and JIRA (for backlog management and agile collaboration) to manage team workloads and track issues.
• Drive a modernization culture by utilizing scripting (e.g., Python) and emerging AI-assisted tools (e.g., for incident summarization, automated runbooks, or knowledge base creation) to automate daily health reports and routine tasks, reducing manual toil.
• Lead technical triage and cross-functional "war rooms" during critical, time-sensitive production outages. Conduct deep-dive Root Cause Analysis (RCA) and implement permanent preventative measures (e.g., enhanced monitoring).
• Diagnose and resolve complex integration issues between distributed services hosted in cloud and hybrid environments.
• Establish and maintain high-quality hand-off protocols with global, regional colleagues to ensure seamless support continuity and zero information loss for ongoing critical issues.
• Develop and maintain an appropriate level of resources with deep knowledge of Ford's supply chain business processes, application architectures, and modern technologies.
• Train and support internal Business customers (MP&L, SCM) and external suppliers on vendor applications to ensure seamless adoption.
• Ensure strict adherence to security, compliance, and data privacy protocols, especially when diagnosing issues that involve accessing sensitive supplier information.
• Monitor the performance and health of supply chain applications using enterprise monitoring, observability, and cloud-native diagnostic tools.