Manager - Reliability, Six-Sigma, Statistical Methods and Data Analytics

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
• 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

Requirements

• 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

Qualifications

• Master's degree in engineering, Statistics, Data Science, or related field
• Adequate 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

Skills

• 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

Benefits

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.

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.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.