The Role
The Quality Technical Manager leads a team of analysts to drive predictive analytics, improve product quality, and collaborate across business stakeholders. They oversee projects, apply machine learning, and ensure data compliance.
Summary Generated by Built In
Job Summary & ResponsibilitiesAre 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 escalate issues quickly and effectively
- 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
- 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
Skills Required
- 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
- Proven experience delivering end-to-end analytics or data science solutions into production
- Experience with one or two data and cloud platforms
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
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The Company
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
