Forward Model & Issue Resolution Quality Insights Supervisor

Ford • Dearborn, MI

3d • $150,000 - $180,000 • Hybrid

About The Position

The Forward Model & Issue Resolution Quality Insights Supervisor supports Forward Model Quality in close partnership with system triage and issue resolution teams. The role helps upcoming vehicle programs launch with fewer electronics and software issues by driving issues to resolution, turning issue data into actionable insights, and helping teams organize and focus their AI efforts. The supervisor identifies opportunities for AI to improve team workflows, connects overlapping initiatives, shares effective approaches, and helps turn promising ideas into tools used in day-to-day work.

The role owns definitions, data quality, dashboards, and reporting cadence to provide leaders with a clear and trusted view of system triage, issue resolution, and forward model quality health. Working across quality, engineering, and triage leadership, the supervisor delivers measurable improvements in quality, efficiency, issue-resolution performance, and launch readiness. The position supervises a small team that coaches engineers on practical AI use and supports cross-functional issue response, issue closure, metrics, process improvement, and launch-readiness reporting.

Requirements

• Bachelor’s degree in Software Engineering, Electrical Engineering, Computer Science, Data Science, Systems Engineering, Mechanical Engineering, or a related field.
• At least 5 years of experience in automotive systems, software, electronics, quality, systems engineering, product development, or a related technical discipline, including experience driving cross-functional projects or issues to completion.
• Demonstrated experience managing technical programs or projects, including scope, schedules, dependencies, risks, and status reporting.
• Experience defining metrics, building dashboards, and using data to track performance, identify trends, prioritize work, and improve issue-resolution outcomes.
• Experience supporting, deploying, or using AI-enabled or digital solutions to improve technical or business outcomes, and ability to translate operational problems into practical use cases.
• Working knowledge of vehicle electronics and software, including architecture, interfaces, diagnostics, failure modes, and system-level troubleshooting.
• Strong communication and collaboration skills, including the ability to drive accountability across cross-functional teams and clearly present status, metrics, and risks to leaders.
• Ability to lead or coordinate a small team, develop others, and deliver results through disciplined execution and influence.

Nice To Haves

• Master’s degree in a technical, data, artificial intelligence, or management field, or a project management certification such as PMP.
• At least 7 years of experience in automotive electrical, electronic, software, systems, or quality engineering.
• Experience helping engineering teams identify, organize, and deliver AI, analytics, or automation ideas from concept through everyday use.
• Experience supervising a small technical team or leading work across a matrixed organization.
• Experience in forward model or new-vehicle quality, including prototype builds, launch readiness, and rapid response to electrical and software quality concerns.
• Proficiency with dashboarding and data tools such as Power BI, Jira dashboards, SQL, or Python.
• Working familiarity with generative AI, machine learning, intelligent automation, evaluation methods, and responsible-AI controls, including human review before AI results influence engineering or quality decisions.
• Knowledge of Ford product-development and issue-management processes and tools, including AVBOM, WERS, AIMS, 8Ds, eFDVS, Jama, Engineering Sign Off, DFMEA, Six Sigma, Confluence, and Jira applications.
• Experience planning or running hackathons, pilots, or rapid experiments.
• Curiosity and a strong bias for practical application, experimentation, learning, and measurable improvement in engineering quality and efficiency.

Responsibilities

• Support rapid, cross-functional response to emerging electronics and software issues during forward model development, prototype and pre-production builds, launch, and early production; track issues through containment and resolution, support launch-readiness reviews, and capture lessons learned.
• Drive electronics and software issues on forward model programs to verified closure ahead of key program milestones.
• Define and track forward model quality measures, including issue burn-down to milestones, repeat issues, and 8D closure timing, and report launch readiness to leadership.
• Use insights from current and past models to inform design reviews, DFMEAs, test plans, and lessons learned to prevent repeat issues.
• Maintain a shared view of active AI ideas and projects for system triage and issue resolution teams, help set priorities, connect overlapping efforts, and focus work on practical problems.
• Help teams find existing tools, data, and approved platforms, and connect them with AI, data, and cybersecurity contacts as needed.
• Supervise a small team that coaches engineers on practical AI use through hands-on sessions, office hours, and shared examples; capture and share effective approaches.
• Drive electronics and software issues to closure by confirming ownership, establishing next steps and due dates, removing blockers, escalating at-risk issues, and holding teams accountable for containment, root cause, corrective action, and verified closure.
• Apply vehicle, system, and cross-feature knowledge to support system-level triage and troubleshooting; use AI tools to improve signal detection, evidence synthesis, issue routing, and prioritization.
• Own system triage and issue-resolution metrics, including definitions, data sources, targets, dashboards, and reporting cadence; track performance, identify trends, and drive action.
• Analyze issue, warranty, and field data to identify recurring failure modes and systemic causes and translate findings into practical actions for engineering and triage teams.
• Establish and maintain data standards, classification fields, and Jira hygiene so metrics are accurate, consistent, and trusted across teams.
• Execute and continuously improve processes for issue intake, triage, escalation, reprioritization, closure, and learning; reinforce clear ownership, criteria, and decision paths, and integrate AI with traceability and human review.
• Support hackathons and small pilots focused on triage and issue-resolution problems; evaluate results, assign owners, and help successful ideas become everyday tools.
• Prepare executive-ready reporting on metrics, insights, and risks, and partner with product, program, software, hardware, systems engineering, validation, manufacturing, service, and quality teams to align stakeholders.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage
• Paid parental leave, new parent ramp-up programs, and subsidized back-up child care
• Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Employee resource groups
• Paid time off for individual and team community service
• Vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day

What This Job Offers

• Job Type: Full-time
• Career Level: Manager