Quality Technical Manager

About the role

We are seeking a strategic and hands-on technical manager to support Warranty Analytics and Programs within our global quality team. The ideal candidate combines strong analytical skills with practical experience, leading a talented team of data analysts/scientists to drive predictive analytics and early detection of emerging quality trends using vast enterprise datasets. This is a fast-paced, collaborative environment that values speed, quality, and a strong desire to drive change and value.

Responsibilities

• Lead and coordinate 4 data analysts/scientists, ensuring alignment with business goals and tight timelines
• Support multiple ad-hoc initiatives to improve quality and reduce corporate spend
• Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives
• Apply statistical analysis and machine learning techniques to solve business and operational problems
• Partner with business stakeholders to understand requirements and translate them into analytical solutions
• Translate business needs into actionable AI use cases and technical requirements
• Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends
• Ensure data quality, lineage, documentation, and compliance with governance requirements
• Create dashboards and analytical outputs that drive insight adoption and operational impact
• Collaborate with business data engineers and platform teams on scalability, performance, and best practices
• Simplify complex situations and programs for use across all levels of experience and knowledge
• Facilitate project reporting, share program metrics, and collaborate with other departments to escalate issues quickly and effectively

Requirements

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field
• 10+ years of experience as a data scientist, advanced analyst, or project management
• Strong proficiency in Python, SQL, PySpark, and visualization tools (e.g., Power BI, Foundry Workshop)
• Proven problem-solving and analytics skills
• Capability to review, understand, and analyze data from a business analytics standpoint
• Self-starter with ability to multi-task and take ownership of programs
• Ability to work in a quickly evolving, fast-paced environment
• Excellent team building and facilitation skills
• Excellent verbal and written communication skills
• Solid understanding of statistics, exploratory data analysis, and applied machine learning
• Experience working with large, complex datasets in enterprise environments
• Ability to communicate analytical findings clearly to technical and non-technical audiences
• Proven experience delivering end-to-end analytics or data science solutions into production
• Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks, AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills

Preferred Qualifications

• Advanced degree (Master's) in Business, Data Science, Statistics, Engineering, Computer Science, or related field
• Experience in project/program management
• Familiarity with data modeling, semantic layers, and enterprise data platforms
• Industry experience in automotive and manufacturing
• Exposure to MLOps concepts, model deployment, or monitoring
• Hands-on experience with Palantir Foundry, Snowflake Intelligence

Benefits

• Comprehensive Health & Well-being Coverage: Medical, dental, vision, and prescription drug coverage from day one, plus an Employee Assistance Program (EAP) for personal and professional challenges
• Family Building Benefits: Support for fertility and infertility treatments, adoption services, and gestational surrogacy
• Generous Paid Time Off: 17+ paid holidays (including year-end shut-down from December 24th through New Year’s Day), vacation, float & wellbeing days, sick time, and fully paid parental leave
• Competitive Retirement Savings Plans: Employer match on 401k, Roth, and Catch-Up contributions, plus an employer contribution even if you don’t contribute
• Income Protection & Insurance Options: Employer-provided and voluntary life insurance, group accident, critical illness, and other insurance options
• Company Vehicle Lease Program: Eligible employees and their families can lease Stellantis vehicles with insurance, maintenance, and unlimited miles included, plus exclusive discounts on Stellantis products
• Support for Growth and Giving Back: Tuition reimbursement, student loan refinancing programs, and 18 paid volunteer hours annually