Ford Motor Company

Software Engineer

• Build and lead a dedicated Process Control Team within Global Manufacturing Engineering across Strategy/Process and Plant Implementation workstreams
• Review Significant and Critical Characteristics from Product Development to enhance Control Plans
• Provide strategic engineering recommendations and determine design or tooling enablers for enhanced control methods
• Direct updates to Control Plans and review PFMEAs for alignment with quality documents
• Lead cross-functional reviews with Product Development, Quality, and VME stakeholders
• Drive interim versus permanent control strategies and secure signed exceptions for interim actions
• Oversee creation, auditing, and updating of PFMEAs, Control Plans, and Process Sheets
• Deliver executive-level report-outs on risk-reduction metrics and project status
• Support real-time data visualization dashboards tracking progress across facilities
• Guide development of action plans and Statements of Work for process-control tooling
• Support supplier quote acquisition, funding, and tooling-upgrade requisitions across North American Vehicle Operations plants
• Lead onsite execution of interim containment solutions and permanent controls
• Deploy engineers to supervise installation of equipment, vision systems, error-proofing systems, and smart tools
• Coordinate labor estimates, operations updates, and installation and operationalization of tooling and software
• Establish validation criteria with plant operations and IT teams
• Develop long-term sustainment plans with plant maintenance and operations

Process Control Team Supervisor – Manufacturing Engineering

Artificial Intelligence

• Serve as global program owner for AI and automation transformation within Internal Control, setting strategy, priorities, and standards across all regions
• Champion AI and smart automation efficiencies in manual controls evaluation procedures
• Baseline and prioritize control workflows and build reimagined process maps identifying AI enablers
• Implement proactive, continuous control monitoring and expanded controls testing coverage through AI and automation
• Partner with regional Internal Control leads to prioritize pain points, reflect regulatory and cultural nuances, and drive adoption
• Direct prioritization of work with the India-based Data Science team and translate business requirements into technical specifications
• Govern sandbox pilots and decide whether pilots scale, are redesigned, or sunset
• Lead global design and implementation of AI and automation solutions while ensuring compliance with S-Ox, GDPR, data privacy, and model risk management requirements
• Develop and annually refresh the global AI transformation roadmap
• Serve as subject matter expert on AI literacy and internal control use cases
• Apply AI tools to automate program-management workflows, including status reporting, meeting synthesis, risk flags, and task tracking
• Own intelligent dashboards tracking metrics, pilot status, and projected ROI
• Build business cases quantifying efficiency gains, risk reduction, and cost savings
• Develop change-management plans, training, and playbooks for global AI adoption
• Translate technical AI initiatives into concise executive communications
• Facilitate global forums with regional leads and the India Data Science team and track emerging AI/ML trends

AI Transformation Manager – Internal Control

Engineer

• Own the NVH attribute for Ford Racing on/off-road vehicles, leading program and technical development while representing the customer
• Plan and execute subsystem and vehicle-level development across all GPDS phases
• Serve as point person for assigned programs, communicating workplans, attribute status, and issue resolution
• Establish pre-program targets for hardware/system selection using analytical tools to meet attribute targets and minimize trade-offs before prototypes are available
• Collaborate cross-functionally with Body, Powertrain, Chassis, Vehicle Dynamics, VEME, CAE/Simulation, and Powertrain Controls development partners
• Deliver NVH attributes including sound quality, driveline, road, wind, exterior noise, and secondary ride, plus related quality metrics
• Use CAE, Simulator, and other analytical tools to assess attribute status, identify root causes, determine solutions, and define tuning libraries
• Create and manage test plans supporting tuning freezes and attribute assessments at major milestones
• Manage and perform off-site testing, scheduling objective testing with internal VEV and external vendors/suppliers
• Complete and document DVP and CDR requirements, including exterior legal noise

Automotive NVH Engineer, Noise, Vibration & Harshness

Technical Program Manager

• Lead end-to-end delivery of complex, multi-year programs spanning mobile apps, cloud applications and infrastructure, and connected vehicle experiences
• Contribute to strategic planning and resource orchestration across the portfolio
• Identify structural constraints and optimize capacity against priorities
• Shape technical direction, assess engineering trade-offs, and guide teams through complex design decisions
• Build consensus across diverse global teams and senior leadership
• Establish scope-control processes and manage changes to the program baseline
• Establish risk-mitigation systems and governance frameworks
• Manage risks and drive impediments to closure
• Define and track Technical Success Metrics (KPIs/QoS) to drive data-based improvements and engineering excellence
• Influence across software systems and divisions without direct authority
• Drive continuous improvement, blameless risk escalation, and team-level mentoring
• Detect trends across data sets to frame high-impact decisions and resolve interdependency challenges across software domains

Staff Technical Program Manager – Cloud, Mobile

Systems Engineer

• Architect and develop vehicle features at the systems level from early concept through production, including feature upgrades and migrations
• Define network, wiring, and power distribution topologies, schematics, and block diagrams while allocating features to cost, quality, and performance targets
• Develop feature, functional, and implementation specifications, DFMEA/Failure Mode Avoidance documentation, verification plans, functional safety assessments, and cybersecurity assessments and mitigations
• Use Python, C++, MATLAB, Simulink, Stateflow, and MagicDraw to define logical architectures, develop and execute control strategies, and validate logic through SiL testing
• Develop and maintain BDD scripts using Gherkin, create and manage Behave step definitions in Python, and ensure requirement-to-test traceability with JAMA and Jira
• Champion Failure Mode Avoidance/DFMEA workshops and apply Six Sigma DMAIC/DFSS principles
• Analyze warranty and quality metrics, including GQRS and AWS, to drive design improvements
• Collaborate with product, program, core engineering, multifunctional teams, and suppliers; lead trade-off discussions and identify technology and cost/quality opportunities
• Communicate complex systems, issues, and resolutions clearly and apply connected data and analytics to build customer understanding
• Serve as a key specialist in next-generation vehicle development, leading design, validation, and optimization of complex vehicle features

Feature System Engineer

Marketing

• Lead Ford's Marketing Intelligence team responsible for executive reporting, marketing measurement, and analytical decision support
• Design and continuously improve the Marketing Intelligence operating model, including governance, reporting standards, measurement frameworks, and best practices
• Transform complex marketing, customer, competitive, and business data into clear, actionable recommendations that improve marketing effectiveness and business performance
• Embed Marketing Intelligence throughout the campaign lifecycle, from planning and investment decisions through optimization and post-launch learning
• Lead analytical deep dives to identify performance drivers, diagnose business challenges, and uncover growth opportunities
• Develop measurement frameworks connecting marketing investments to brand health, customer behavior, sales performance, and business outcomes
• Build intelligence systems connecting insights directly to business actions, campaign optimization, investment decisions, and strategic planning
• Monitor consumer, competitive, marketplace, and campaign data to identify emerging trends, performance risks, and growth opportunities
• Standardize reporting, democratize data, and build scalable self-service tools for stakeholders
• Leverage AI, automation, and modern analytics tools to improve efficiency and accelerate insight generation
• Advance measurement capabilities, automation, governance, and technology adoption
• Coach and develop a high-performing intelligence team and foster analytical rigor, collaboration, and continuous improvement

Senior Manager, Consumer Marketing Intelligence

Product Manager

• Drive demand management processes and ROI tracking to improve resource utilization, capacity allocation, and strategic decision-making
• Execute and enhance quarterly strategic planning, using data-driven tools to align IT investments with business priorities
• Lead teams in agile methodology growth, cross-functional alignment, and resolution of complex systemic issues
• Create and implement risk management and prioritization frameworks for cross-functional decision-making
• Partner with product teams to measure and optimize value delivery, road mapping, velocity, and KPI tracking
• Establish structured intake and change-control processes to manage demand and PI commitments
• Optimize enterprise Agile platforms and toolchains, including Jira, Confluence, and Planview
• Translate delivery metrics, portfolio health, ROI, and risks into data-driven narratives for product leadership and stakeholders
• Leverage AI tools and frameworks to generate business insights, build dashboards, design AI agents, model predictive what-if scenarios, and automate workflows

Group Product Manager

Data Engineer

• Re-define a vision, strategy and set of KPIs for specification, development, deployment, quality, and operations
• Drive delivery discipline and best practices through the organization
• Ensure projects and upgrades are delivered robustly and on time
• Recruit, assign, develop and direct a diverse multi-disciplined team
• Provide end-to-end ownership of data platforms, products and services, ensuring reliability, scalability, and performance for global connected vehicle experiences
• Lead the development, maintenance, and support of mission-critical platform components
• Drive operational excellence through data-driven insights, real-world performance metrics, and continuous improvement practices
• Ensure compliance with security, availability, and performance standards across services
• Partner with Product, Security, Architecture, and Operations teams to maintain a stable, always-on customer experience
• Serve as a primary technical and organizational change agent for transformation, aligning engineering, product, and enterprise stakeholders
• Drive long-term platform strategy, operational maturity, and continuous optimization in the modernized cloud environment
• Lead teams of data platform and product engineers in developing future Vehicle Cloud and Mobility telemetry and data platforms and products

Director, Vehicle Cloud and Mobility – Telemetry and Data Platform

Controller

• Lead and mentor a finance team, including 17 plant controllers
• Present critical financial insights directly to executive leadership
• Partner with manufacturing directors to shape operational strategy, deliver vehicle volume, and eliminate waste
• Align deliverables with lean processes to eliminate waste in manufacturing operations and financial workflows
• Drive organizational transformation through technologies benefiting finance and plant operations
• Build business cases and cost roadmaps to reduce operational waste
• Collaborate with plant operations and controllers to build a world-class operating system and guide timely financial decision-making
• Oversee review, approval, and optimization of non-product capital spending
• Lead budgeting, forecasting, and closing processes across North American facilities
• Maintain robust internal controls
• Champion and implement modern data tools such as Alteryx and Power BI

Controller, NA PTO & Stamping

Full-stack Engineer

• Use AI and automation for high-leverage development work and help shape team AI practices and guardrails
• Design, develop, and debug embedded C software for low-level and platform-level components
• Drive performance optimization across RAM usage, CPU load, and compiler/build settings
• Improve system robustness, fault handling, and stability through runtime behavior analysis
• Define and track software quality metrics and lead continuous quality and reliability improvements
• Own architecture, interfaces, and technical strategy for a critical embedded component
• Author and negotiate requirements and scope with stakeholders
• Drive improvements in quality, stability, and delivery predictability
• Mentor junior engineers and coach across teams
• Communicate technical content, tradeoffs, and risks to engineers, program managers, and leadership
• Maintain a system-level mindset and align component decisions with overall product architecture

Software Development Engineer – Embedded

• Support forward model and capacity studies for all milestones, including direct and indirect labor in Stamping, Body, Paint, and Final
• Lead new model labor optimization efforts through benchmarking, target setting, process-change tracking, and replication across programs
• Support cycle line layout planning and virtual build events with operator allocations and time studies
• Work with plants on physical build events and program launches
• Minimize or offset labor impacts through labor blitzes, plant projects, and design/process opportunities
• Assist with operator allocations, cycle line layouts, plant rebalances, line-speed changes, time studies, throughput issues, and launch support
• Maintain and deliver IE documentation, including Labor Glidepath, Program 1-Pager, Labor by Department, Plant Line Speed, and APT Assessment
• Develop and document standardized methods and procedures
• Implement labor efficiency through global industrial engineering processes, tools, and standards
• Complete and evaluate plant time studies using MODAPTS
• Collaborate with manufacturing engineering, material handling, ergonomics, and plant personnel
• Support Assembly and Stamping in North America
• Travel domestically

Industrial Engineer

Human Resources

• Lead the design, implementation, and execution of the organization's HR strategy and overall HR program delivery
• Drive HR strategy toward a culture of excellence and prepare leaders and teams for organizational change
• Collaborate with HR and business leaders to promote employee engagement and results
• Consult with senior business leaders on organizational design, effectiveness, and employee engagement
• Translate company-wide objectives and initiatives into tailored strategies for the organization, technical leaders, and employees
• Lead large-scale change management planning and execution affecting hundreds to thousands of employees
• Implement organizational structures that improve individual and organizational performance while minimizing business disruption
• Develop and implement organization-specific people and workforce plans and roadmaps aligned with business needs
• Drive strategies to attract, engage, and retain world-class talent
• Own execution of the talent management lifecycle, including talent acquisition, talent integration, performance management, total rewards management, employee engagement, and retention
• Potentially lead a team of HR Business Partners

Director, Human Resources Business Partner

DevOps Engineer

• Lead or support High Time in Service quality projects using Design for Six Sigma / 8D processes to reduce suspension warranty spend and failure rates
• Evaluate high-warranty-spend and high-failure-rate subsystems and engine/vehicle applications, focusing on issues contributing to over 12 MIS warranty and design/physics-related issues
• Execute Define, Characterize, Optimize, and Verify phases of the DFSS process
• Identify and verify root causes, implement interim and permanent corrective actions, perform read-across, and prevent recurrence
• Analyze warranty data and trends, conduct part-return analysis, and use physical understanding of suspension systems to identify corrective actions
• Develop relationships with dealerships and fleets to identify and resolve HTIS quality issues
• Design, execute, or coordinate analytical and physical testing from component bench level through full-vehicle testing
• Document lessons learned for knowledge preservation
• Analyze repair-cost variation and identify lower-cost repair opportunities
• Review and trial more efficient service procedures for field implementation
• Work with Ford Customer Service Department to implement tools supporting lower-cost repairs
• Lead engineering projects across suspension systems and vehicle lines contributing to yearly objectives
• Assess warranty tools and identify lower-cost repair opportunities
• Initiate appropriate teams and work plans for identified opportunities
• Present project status and results frequently to senior management
• Interface with quality, powerpack, core engineers, and technical specialists
• Maintain project documentation including 1-pagers, 6-panels, 8D reports, and management summaries
• Lead and attend team meetings
• Support cross-functional groups in identifying reliability challenges and tracking reliability through product launch
• Manage product-release CAD and BOM structures, supplier data integration, CAD studies, version control, data release, and change management
• Perform CAD feasibility analyses including draft-angle analysis, undercut detection, minimum bend-radius validation, and clearance checks

Reliability Engineer

Supply Chain

• Create high-level designs, system-level sequence diagrams, and validate and apply architectural standards across the supply chain analytics ecosystem
• Integrate machine learning algorithms and build production-ready applications powered by Generative AI and LLMs
• Write clean, well-crafted, maintainable code
• Architect and build distributed, fault-tolerant data pipelines to ingest, process, and serve massive datasets
• Ensure data and software products align with enterprise policies
• Pair program with team members and mentor engineers on clean code practices, Extreme Programming, and Agile ways of working
• Advocate for and implement Test-Driven Development, continuous integration, and iterative delivery
• Work with Product Owners and GDIA partners to define, prioritize, and deliver MVPs using Jira
• Help Product Development Office teams adopt modern ways of working
• Contribute to Ford’s institutional knowledge base
• Present technical concepts to Ford leadership and collaborate with GDIA partners and diverse teams

Tech Anchor – Supply Chain

• Own and drive the Experiences Hub product roadmap in partnership with Ford Racing
• Build and operate the Experiences Hub for owners and non-owners
• Own the full transaction lifecycle, including discovery, browsing, booking, payment, and fulfillment
• Lead onboarding, migration, launch, and maintenance of all Ford Racing experiences and events
• Evaluate incoming requests, scope and prioritize work, and align stakeholders on timelines and delivery approaches
• Collaborate across product organizations to increase experience visibility and placement across the site
• Serve as the primary product point of contact for Ford Racing
• Translate racing events and activations into digital placements, personalization, and promotion strategies
• Identify opportunities to drive direct and incremental revenue from experiences
• Lead agile planning and ceremonies with delivery teams
• Drive predictable, repeatable experience-launch processes
• Support on-site content, copy, SEO, and customer journey planning
• Partner with CRM and Personalization teams to promote experiences across Email, SMS, App, and Web
• Develop experimentation and A/B-testing roadmaps to optimize experience surfacing, personalization, and promotion