Quality Supervisor- Future Model

Ford of Canada's operations include a national headquarters, three vehicle assembly and engine manufacturing plants, three parts distribution centres, and three Connectivity and Innovation centres. Ford employs approximately 7,000 people in Canada, while an additional 18,000 people are employees in the more than 400 Ford and Ford-Lincoln dealerships across the country. For more information, please visit www.careers.form.com

Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this position...

You will focus on preventing quality issues through architecture decisions, systemic design improvements, competitive benchmarking, and quality-by-design practices.

This role provides the strategic and technical leadership necessary to improve future vehicle quality through architectural excellence, built-in quality principles, and competitive benchmarking. The position identifies and drives systemic quality improvements at the platform level, ensuring lessons learned, emerging technologies, and best-in-class industry practices are incorporated into future vehicle architectures before programs enter execution. By leading architecture assessments, quality benchmarking, defect prevention initiatives, and cross-functional quality strategy development, this role helps reduce future quality risk, improve customer satisfaction, and enable best-in-segment quality performance across future vehicle programs.

The primary responsibilities for this position include, but are not limited to:

Architectural Quality Enablement

• Lead identification of architectural improvements that prevent future quality issues before program execution.
• Partner with platform, systems engineering, and product development teams to embed quality into future vehicle architectures.
• Drive Built-In Quality (BIQ/BIC) principles across hardware, electrical, software, and mechatronic systems.

Future Model Quality Strategy:

• Develop long-term quality improvement roadmaps for future vehicle programs.
• Translate quality lessons learned into platform-level standards, requirements, and design practices.
• Support achievement of Mid-Term Plan quality objectives through proactive quality engineering.

Competitive Benchmarking:

• Lead benchmarking studies of competitor vehicles, technologies, architectures, and quality performance.
• Identify best-in-class practices and emerging trends that can improve future product quality and customer experience.
• Develop recommendations for future architecture and design improvements based on benchmarking insights.

Systemic Read-Across & Defect Prevention:

• Lead enterprise-wide defect prevention initiatives across future vehicle programs.
• Ensure quality concerns identified in current programs are systematically analyzed and addressed in future architectures.
• Drive global read-across activities across hardware, software, and complex mechatronic systems.

Quality Analytics & Technical Assessment:

• Evaluate quality trends, warranty data, customer feedback, and engineering performance metrics to identify improvement opportunities.
• Support future risk assessments related to product complexity, architecture maturity, manufacturability, and technology adoption.
• Develop executive-level insights and recommendations to guide future quality decisions.

Cross-Functional Leadership:

• Collaborate with Product Development, Systems Engineering, Launch, Manufacturing, Supplier Quality, and Technical Platform teams.
• Influence strategic decisions that improve quality outcomes across future vehicle programs.
• Build organizational capability in quality-by-design and defect prevention methodologies.

You will have...

Education:

• Bachelor’s degree in Software Engineering, Electrical Engineering, Computer Science, Data Science, Systems Engineering, Mechanical Engineering, or a related field.

Experience:

• 10+ 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 the 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.
• Ability to lead or coordinate a small team, develop others, and deliver results through disciplined execution and influence.

Even better, you may have...

Education:

• Master’s degree in a technical, data, artificial intelligence, or management field, or a project management certification (e.g., PMP).

Experience:

• 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.
• Proficient communication and collaboration skills, with the ability to drive accountability across cross-functional teams and present status, metrics, and risks clearly to leaders.
• Working familiarity with generative AI, machine learning, intelligent automation, evaluation methods, and responsible-AI controls, including the need for human review before AI results influence engineering or quality decisions.
• 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.

This posting is for an existing vacancy within our team.

Successful candidates will be required to provide proof of degree completion for the highest level of education attained. If the degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required.

Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.

We thank all candidates for their interest, but only those selected for an interview will be contacted.

Ford of Canada is an Equal Opportunity Employer and is committed to a culturally diverse workforce. Accommodations for applicants with disabilities throughout the recruitment, selection and/or assessment processes, where needed, are available upon request. Please inform Human Resources of the nature of any accommodation(s) that you may require.

Candidates for this position must be legally entitled to work in Canada. Ford Motor Company of Canada, Limited, does not sponsor work permit applications.

This position is hybrid with a requirement to be onsite four or more days per week.

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