Job Description
Responsibilities
In this position...
At Ford, Reliability is at the core of everything we do. The Manager - Reliability at Ford Motor Company will lead cross-functional team of Reliability Engineers improve the Quality, Reliability and Durability of Ford Vehicles. This role combines deep technical expertise in reliability engineering, statistical methods, and data science with strong leadership and analytical skills to drive continuous improvement, reduce warranty/quality costs, and enhance customer satisfaction.
What you'll do...
Reliability Engineering
Lead reliability planning, testing, and analysis (e.g., FMEA, DFMEA, reliability growth modeling, Weibull analysis) across product development lifecycle
Define and track reliability targets, metrics, and KPIs; report performance to leadership
Partner with engineering, testing, manufacturing, and supplier quality teams to identify and mitigate failure modes early in design and production
Ensure robust corrective and preventive actions (CAPA) are implemented and validated for effectiveness
Leverage statistical software (Minitab, JMP, Python, R, or similar) and enterprise data platforms to analyze warranty, test, and field data
Translate complex data findings into actionable insights and clear recommendations for technical and non-technical stakeholders
Leadership & Stakeholder Management
Manage and develop a team of engineers/analysts, setting goals and providing coaching
Collaborate with quality, engineering, testing, manufacturing, supplier, and program management teams globally
Present findings, risk assessments, and improvement recommendations to senior leadership
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $115,500-$218,100
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is not available for this position.
Qualifications
You'll have...
Bachelor's degree in engineering, Statistics, Data Science, or related field
7+ years of experience in reliability engineering, quality, or process improvement roles, with 2+ years in a leadership/management capacity
Strong proficiency in statistical analysis tools (Minitab, JMP) and data analytics/programming (SQL, Python, R, Power BI, or Tableau)
Deep knowledge of reliability tools (FMEA, Weibull analysis, reliability demonstration testing, accelerated life testing)
Proven track record leading structured problem-solving (8D, root-cause analysis) to resolution
Excellent communication, facilitation, and stakeholder management skills
Even better, you may have...
Master's degree in engineering, Statistics, Data Science, or related field.
Automotive or manufacturing industry experience
Experience with warranty data analysis and field performance monitoring
Familiarity with machine learning applications for predictive reliability/quality analytics
Project management certification (PMP) is a plus
Key Competencies
Analytical rigor and structured problem-solving mindset
Strong leadership and team development skills
Ability to influence cross-functional teams without direct authority
Excellent verbal and written communication, including executive-level presentations
Comfort operating in ambiguous, fast-paced environments
