Quality Technical Manager

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 140,000 - 180,000; Full time

Job summary

Stellantis Financial Services is seeking a strategic and hands-on manager to lead Warranty Analytics within our global quality team. You will supervise a team of data analysts/scientists, drive predictive analytics and early detection of quality trends across the enterprise, translating insights into actionable program improvements.

Based in Auburn Hills, MI, you will partner with business stakeholders, apply ML techniques to forecast warranty claims and costs, ensure data governance, and

Qualifications

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.
• 10+ years of experience as 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.

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
• The ideal candidate will excel in taking complex situations and programs and simplifying them for use across all levels of experience and knowledge
• The role will require strong organizational and project management skills to facilitate project reporting.

Skills

Python

SQL

PySpark

Power BI

Education

Bachelor's in Data Science/related

Tools

Palantir Foundry

Snowflake

Databricks

Job description

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? 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. You will lead a talented team of data analysts/scientists, driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise.

This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

Key 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
• The ideal candidate will excel in taking complex situations and programs and simplifying them for use across all levels of experience and knowledge
• The role will require strong organizational and project management skills to facilitate project reporting. This individual will be accountable for sharing program metrics and collaborating with other departments to elevate issues quickly and effectively

Basic Qualifications:

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field
• 10+ years of experience as 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