Stellantis

Quality Technical Manager

Stellantis • $100K — $130K *
Auburn Hills, MI 48326In-Person
Technical Services
8 - 10 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Bachelor's in Data Science, Statistics, Engineering, Computer Science, or related field
  • 10+ years as a data scientist, advanced analyst, or in project management
  • Proficient in Python, SQL, PySpark, and visualization tools (e.g., Power BI)
  • Strong problem-solving and analytics abilities
  • Experience in handling large, complex datasets in enterprise settings
  • Excellent team-building, facilitation, and communication skills
  • Familiarity with cloud platforms such as AWS, Azure, GCP.

Responsibilities

  • Lead and coordinate a team of 4 data analysts/scientists to meet business goals
  • Support initiatives to improve quality and decrease corporate spending
  • Collaborate with stakeholders to prioritize program objectives
  • Apply statistical analysis and machine learning to solve business problems
  • Develop predictive models for forecasting warranty claims and costs
  • Translate business needs into analytical solutions and AI use cases
  • Create dashboards and reports that drive insights and operational impact

Benefits

  • Opportunity to work in a fast-paced, evolving environment
  • Collaborative team-focused culture
  • Exposure to advanced data science technologies and practices
  • Professional development opportunities in analytics and project management
  • Chance to impact corporate spending and business operations directly
Full Job Description
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


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

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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