Ford Motor Company

Supply Chain

• Develop and execute long-term sourcing strategies for the Exteriors commodity portfolio.
• Align sourcing decisions with technology roadmaps, sustainability objectives, and cost competitiveness goals.
• Maintain sourcing and material cost roadmaps, value maps, and opportunity funnels to support business objectives.
• Build and manage strategic relationships with key global suppliers.
• Establish performance expectations and drive improvements across quality, delivery, cost, and sustainability metrics.
• Identify, assess, and mitigate supply chain risks, including material constraints, geopolitical disruptions, and capacity limitations.
• Drive best-in-class sourcing practices through cost modeling, benchmarking, market intelligence, competitive bidding, and data-driven decision making.
• Lead commercial negotiations and total cost of ownership initiatives.
• Lead, coach, and develop a high-performing supply chain team.
• Foster a culture of collaboration, accountability, agility, and continuous improvement.
• Partner with Product Development, Manufacturing, Finance, and other stakeholders to align supply chain strategies with enterprise objectives.

Senior Supply Chain Manager, Exteriors

Engineer

• Provide engineering support for material flow process; document standards and procedures, provide training, overall adherence and maintenance to ensure materials are available in designated stock, markets and line locations throughout the facility
• Work with Planning & Inventory Control, Production, Material Handlers, and Supply Chain to ensure robust policies are available and practiced and strive for continuous improvement
• Apply technical expertise, commensurate with formal training and limited job experience, in the development of material flow processes
• Design and/or develops material flow processes and equipment
• Recommend changes to increase safety, reduce costs, improve quality and optimize efficiency
• Participate in plant layout activities
• Develop floor space analyses to confirm storage requirements and recommend practical solutions where required
• Assist in qualifying manual and powered material handling equipment requirements
• Work to improve material flow and manage materials and inventory consistent with Lean principles
• Lay out market, sequencing, and kitting areas to facilitate material handling, process flow, space utilization, and labor
• Define and manages in-plant storage and call systems to maintain inventories; assists to define appropriate goals and metrics for proper material control
• Provide vehicle and pedestrian flow/congestion/safety analyses and recommend practical solutions where required
• Interact on a regular basis with other functional groups and vendors on technical and/or administrative matters
• Work with Production, Production Control, Supply Chain, Quality and other engineering departments
• Prepare detailed plans, generally spanning several months, vital to complete assigned projects
• Develop and approves schedule milestones
• Develop and coordinate labor, facility and equipment requirements for assigned projects
• Propose alternate plans for economic evaluation
• Administer technical procedures including process and work procedures
• Implement an industrial engineering system (standard cost data, capacity and equipment requirement forecasting, shop floor control system)

Material Flow Engineer

Program Manager

• Conduct External Benchmarking & Market Analysis: Continuously monitor the external AI landscape, evaluating industry trends, competitor advancements, and best-in-class AI applications. Translate these external benchmarks into actionable insights to inform roadmaps across our AI Big Bets and internal capabilities.
• Lead Workflow Reimagination: Identify new AI opportunities by baselining and prioritizing existing workflows. You will build "reimagined" domain process maps that fundamentally redefine processes with AI, establishing clear business outcomes and identifying the specific AI enablers needed to accelerate each step.
• Drive Roadmaps: Develop the strategic roadmaps for AI Big Bets and capabilities based on the target-state vision for Ford to operate as a best-in-class enterprise.
• Drive Enterprise-Level Change Management: Proactively plan and execute initiatives to drive adoption of newly reimagined workflows and central AI capabilities; co-create central training and playbooks to scale AI literacy and hands-on capability.
• Drive Rapid Experimentation & Funnel Governance: Partner with business sponsors to capture problem statements, set up sandbox environments, and lead the rapid testing of AI concepts. You will own the process to decide whether an idea progresses into the AI development funnel and you will inform build-buy-partner decisions on AI solutions.
• Automate Program Management: Practice what you preach by applying AI productivity tools, LLMs, and automation platforms to streamline your own workflows (e.g., automated status reporting, meeting synthesis, risk flags, and task tracking).
• Build Intelligent Dashboards: Own and maintain highly transparent, automated program dashboards that track leading/lagging metrics, program status, and projected ROI for senior leadership. Serve as a trusted partner to AI FinOps teams to establish visibility on AI spend, ensuring transparency on ROI in the dashboards.
• Resolve Blockers & Unblock Teams: Proactively identify dependencies, surface trade-offs to leadership, and secure resources to keep development moving at a rapid pace across engineering, data science, manufacturing, quality, and supply chain.
• Deliver Executive Storytelling: Translate complex, technical AI initiatives into concise, high-impact executive communications that clearly outline business value and risk-adjusted paths forward.
• Evolve the AI Operating Model: Define and refine how the Central AI team engages with business units across intake, prioritization, funding, and support, and codify this as clear ways of working.

AI Program Manager

Data Scientist

• Develop machine learning and statistical models to support manufacturing use cases such as anomaly detection, quality prediction, equipment health, process monitoring, throughput improvement, and decision support.
• Apply supervised, unsupervised, and semi-supervised learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, statistical process control, and model explainability.
• Build anomaly detection solutions using methods such as control limits, isolation forests, clustering, Mahalanobis distance, autoencoders, time-series models, and supervised classification where labeled defects are available.
• Evaluate model performance using appropriate metrics, ground truth definitions, validation strategies, false positive and false negative analysis, and business impact measures.
• Identify when data is insufficient, labels are unreliable, ground truth is weak, or a machine learning approach is not appropriate, and communicate those limitations clearly.
• Partner with plant teams and domain experts to understand process behavior, validate assumptions, and determine whether model outputs reflect real operating conditions.

Senior Data Scientist – Manufacturing Intelligence, Machine Learning, AI

IT Support

• Accelerate synergies and drive plans to address gaps to drive accelerated outcomes within Manufacturing IT portfolio.
• Responsible for tracking/reporting actionable roadmaps required to meet the IT Manufacturing vision/mission objectives.
• Collaborate closely with plant operations, engineering, internal and external stakeholders to help track progress across the Manufacturing strategic action plan.

IT Integration Manager – Manufacturing

• Own the system, not just the plan - Serve as the single source of truth across scope, dependencies, risks, and decisions. Translate strategic intent into executable plans and ensure teams stay aligned as conditions change.
• Lead executive-level governance and decision-making - Design and run governance forums that drive clarity, accountability, and timely decisions. Frame trade-offs, escalate risks with context, and guide leaders toward resolution.
• Influence without authority - Build credibility across stakeholders. Resolve conflict, align incentives, and keep teams moving forward even when priorities compete.
• Anticipate and manage risk proactively - Identify systemic risks early, not just delivery issues. Drive mitigation plans that balance speed, quality, and business impact.
• Model strong program leadership behaviors - Demonstrate clear thinking, decisive action, and calm execution under pressure. Set the tone for accountability, transparency, and follow-through.

Engineering Manager

• Own end-to-end execution of software deliverables (firmware, end-of-line) aligned to hardware build milestones (SMT, FATP, vehicle builds)
• Act as the single point of ownership for software program execution, ensuring alignment across Software Engineering, Product Management, Program Management, and Quality Engineering.
• Drive software roadmap alignment, engineering readiness, milestone planning, and release execution.
• Drive clarity of scope, requirements, dependencies, risks, and delivery timelines, holding teams accountable to commitments.
• Own trade-off decisions across scope, schedule, and quality, with a strong bias toward long-term software sustainability and product quality.
• Establish and enforce strong planning, execution, and tracking frameworks, including Jira workflows and operational metrics.
• Translate complex technical topics into clear executive-level updates, enabling informed decision-making.
• Proactively identify risks, drive mitigation strategies, and resolve execution blockers to maintain schedule, quality, and software readiness.
• Champion operational excellence by continuously improving software development processes, communication, and cross-team execution models.

Staff Software Technical Program Manager

QA Engineer

• Lead early defect detection and prevention strategies across software development.
• Define methods and strategies for process improvement to enhance software quality and reliability.
• Conduct software design reviews to ensure compliance with architectural and quality standards.
• Support Failure Mode Analysis (FMA) efforts to proactively identify and mitigate software risks.
• Participate in engineering joint reviews and quality reviews to ensure best practices in software development.
• Collaborate with cross-functional teams to improve software verification and validation processes.
• Analyze warranty, field, and test data to identify systemic software quality issues and drive corrective actions.
• Partner with suppliers and internal teams to enhance software quality, focusing on infotainment, connected gateways, and telematics.
• Coach and train engineering teams on software quality best practices, including ISO 26262 (Functional Safety) and ASPICE compliance.
• Contribute to process development and improvement within the software quality organization.
• Effectively communicate complex software issues to both engineering teams and executive leadership.

Systems and Software Quality Engineer

SDET

• Design, build, and maintain comprehensive automotive system-level test benches, ensuring their seamless integration of hardware and software components for reliable and scalable test environments, with a strong emphasis on Python-driven automation.
• Develop comprehensive verification and validation plans, test plans, test cases, and test scripts to rigorously validate functional, non-functional, performance, safety, and regression aspects of automotive software systems and components.
• Overseeing and coordinating the development and validation of Distributed (e.g. Software, Electrical & Mechanical) Features on all UEV programs.
• Collaborate extensively with cross-functional teams, including software developers (e.g. UX, HMI, Connectivity), controls engineers, and systems engineers, to develop item definition, identify system goals, create technical requirements and test scenarios as per consumer electronics and automotive standards.
• Authoring and releasing Core Feature Requirements and Specification documents (JAMA, FEDE and JIRA).
• Develop feature specifications, Quality documents (Quality History, Parameter Diagram, Feature Failure Mode Avoidance (FMEA) documentation), feature verification plan, etc.
• Review existing system designs to find new opportunities for cost or quality improvement, with a keen focus on the end customer’s user experience.
• Interact with hardware and software teams to come up with specification development for must-have products, collaborating with device owners, program teams, core engineers and functional areas to create balanced solutions to competing requirements.
• Execute test cases and test scripts, leveraging advanced Python automation to enhance testing efficiency, accuracy, and repeatability across various testing phases.
• Decompose functional and non-functional requirements to comprehensive test scenarios that are actionable against V&V test platforms and test infrastructure.
• Create a constant feedback loop between field issues and functional requirements and test cases, ensuring that we are left-shifting testing and defect detection.

Senior Software Developer Engineer in Test, Charging Systems

Manager

• Act as the connective layer across the SAP delivery ecosystem, aligning cross-program release dependencies across Supply Chain, Finance, Invoicing, MMP, and related capabilities
• Ensure quality, stability, and release readiness across foundational SAP capabilities
• Coordinate integrated testing scope, risk visibility, and release readiness from upstream design decisions through cutover execution
• Leverage deep SAP expertise and a proactive, governance-driven mindset to ensure that design, configuration, and process changes are translated into clear testing scope and integrated execution priorities that support platform stability and business confidence at scale.

ERP Release Manager

• Lead Ford’s global Human Rights and Working Conditions strategy within Supply Chain Sustainability.
• Interpret emerging human rights, sustainability, and due diligence regulations, translating requirements into business processes, controls, and reporting.
• Lead supplier risk assessments, due diligence, audits, corrective actions, and mitigation activities across the supply chain.
• Drive supplier engagement and capability-building through sustainability assessments, audits, and ESG improvement initiatives.
• Manage sustainability KPIs, annual reporting, and external performance metric calculations.
• Develop and maintain global policies, procedures, training, and governance processes.
• Partner with Purchasing, Legal, Compliance, Sustainability, suppliers, and industry organizations to implement aligned strategies and advance responsible business practices.
• Support responsible material sourcing programs and address human rights risks throughout the value chain.
• Lead cross-functional and global working groups to drive execution of sustainability priorities.

Analyst, Supply Chain Sustainability – Responsible Sourcing

Business Analyst

• Support organizational change by analyzing processes, identifying improvement opportunities, and assisting with the implementation of strategies to enhance efficiency, technology adoption, and business performance.
• Collaborate on initiatives to optimize dealer and distributor performance.
• Resolve supply chain bottlenecks.
• Track and help reduce Repair Order (RO) duration.
• Leverage digital technologies to shape the future of Ford's service and parts operations.

Business Strategy & Transformation Analyst

• Translate product requirements into software integration validation steps
• Design and execute test methods and automation scripts for requirements verification purposes, at multiple integration / solution levels.
• Lead incidents triage, performs root cause analysis, and contributes with Preventive Actions design.
• Use Test Management tools for test planning review, execution, monitoring review (proficient key metrics interpretation), and reporting of Test Results.
• Use defect management tools for defect creation, and monitoring of resolution.
• Fully understand and apply Ford Standards and tools for pipeline development.
• Follow code artisanship best practices, quality, and security standards; and contributes to the improvement of them.

Senior Software Tester

• Lead the continuous improvement of complex predictive models, leveraging advanced statistical and machine learning methodologies to ensure state-of-the-art accuracy.
• Drive the transition of analytical frameworks into robust, production-ready assets, focusing on deployment automation, code efficiency, and operational stability.
• Manage the end-to-end model lifecycle, including performing regular scheduled updates and executing rapid-response ad-hoc analyses to support strategic decision-making.
• Proactively assess existing toolsets and methodologies to identify opportunities for enhancements and innovations.
• Translate intricate quantitative concepts into clear, actionable insights for both technical peers and non-technical stakeholders.
• Partner closely with cross-functional teams to align data science capabilities with evolving business needs and maximize impact.
• Present findings, recommendations, and progress updates to senior leadership and other key stakeholders.

Senior Specialist, Yield Management – GTM AA Data Scientist

Platform Engineer

• Ford Credit Platform Engineering builds the shared services, APIs, and developer tooling that enable engineering teams across the organization to deliver value safely and quickly.
• As a Software Engineer on our Platform Engineering team, you will focus on designing and building high-quality APIs and internal developer tools that make a measurable impact on how hundreds of engineers work every day.
• This role leans toward software development. You will write production code, design APIs, and build automation while maintaining a working knowledge of cloud-native delivery, DevOps, and SRE practices. You will operate what you build, own its reliability in production, and continuously improve based on real-world usage.