Connected Services Analytics & AI Enablement Lead

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

Benefits offered by this job

Medical, dental, vision coverage

Paid holidays and time off

401(k) with company match

Disability and life insurance

Company vehicle lease program

Family building benefits

Job summary

Stellantis in Auburn Hills, MI, seeks a Connected Services Analytics & AI Enablement Lead to transform vehicle data into actionable insights. You will drive analytics solutions, data assets, and AI-powered approaches for customer understanding and product performance.

You will lead data-driven initiatives across platforms, ensuring data quality and scalable self-service analytics with dashboards and AI-enabled workflows for engineering and business teams.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Minimum of 8 years of experience in Data Analytics, Data Science, AI enablement, or a similar role.
• Ability to translate business challenges into scalable, reusable, data-driven analytics solutions delivering business outcomes
• Good understanding of automotive domains, especially Connected Services, vehicle features, customer behavior analytics, or mobility services.
• Experience working with large-scale data platforms and distributed processing environments.
• Strong proficiency in: Python, SQL, Spark / PySpark, Data visualization tools (Power BI or equivalent)
• Hands-on experience with Databricks or similar cloud data platforms.
• Experience with AI and Generative AI concepts: AI agents and intelligent workflows; Retrieval-Augmented Generation (RAG); Machine Learning lifecycle concepts
• Strong communication and collaboration skills with technical and non-technical stakeholders.

Responsibilities

• Translate business needs and Connected Services challenges into scalable analytics solutions and data requirements.
• Define and develop analytics use cases leveraging connected vehicle data, feature usage data, customer behavior data, and operational data.
• Design reusable analytics assets and data products to accelerate insight generation and decision-making.
• Ensure data consistency, quality, representativeness, and reliability through appropriate validation processes.
• Develop advanced analytics methodologies to uncover customer behaviors, product usage patterns, and feature performance insights.
• Build and maintain dashboards and visualization solutions to facilitate insight sharing and self-service analytics adoption.
• Identify and develop opportunities to leverage Artificial Intelligence and Generative AI to enhance analytics capabilities.
• Contribute to the design and deployment of AI-powered solutions such as AI assistants, analytics agents, and knowledge retrieval systems.
• Define business rules, analytical logic, and data foundations required to enable AI-driven applications.
• Prepare, structure, and curate datasets to support AI model development and intelligent workflows.
• Collaborate with Data Scientists and AI experts to industrialize machine learning and GenAI use cases.

Skills

Python

SQL

Spark / PySpark

AI / GenAI concepts

Data visualization

Communication with stakeholders

Education

Bachelor's degree in CS/DS/AI/Engineering

Master’s degree in CS/DS/AI/Engineering

Tools

Databricks

Power BI

Job description

Job Description

As part of the Data & Diagnostic insights initiative, we are looking for a Connected Services Analytics & AI Enablement Lead to accelerate the adoption and value creation from connected vehicle data through advanced analytics, AI, and self-service capabilities.

In this role, you will be responsible for transforming connected services & digital product data into actionable insights, enabling business teams and engineering stakeholders to make data-driven decisions. You will lead the development of analytics solutions, define reusable data assets, and promote AI-powered approaches to improve customer understanding, product performance, and operational efficiency.

Your key responsibilities will include:

Analytics & Data Product Enablement

• Translate business needs and Connected Services challenges into scalable analytics solutions and data requirements.
• Define and develop analytics use cases leveraging connected vehicle data, feature usage data, customer behavior data, and operational data.
• Design reusable analytics assets and data products to accelerate insight generation and decision-making.
• Ensure data consistency, quality, representativeness, and reliability through appropriate validation processes.
• Develop advanced analytics methodologies to uncover customer behaviors, product usage patterns, and feature performance insights.
• Build and maintain dashboards and visualization solutions to facilitate insight sharing and self-service analytics adoption.
• Identify and develop opportunities to leverage Artificial Intelligence and Generative AI to enhance analytics capabilities.
• Contribute to the design and deployment of AI-powered solutions such as AI assistants, analytics agents, and knowledge retrieval systems.
• Define business rules, analytical logic, and data foundations required to enable AI-driven applications.
• Prepare, structure, and curate datasets to support AI model development and intelligent workflows.
• Collaborate with Data Scientists and AI experts to industrialize machine learning and GenAI use cases.

Platform & Technical Leadership

• Design and implement scalable data processing workflows using Python, SQL, Spark, and cloud-based technologies.
• Leverage platforms such as Databricks to develop analytics pipelines and data processing solutions.
• Ensure best practices in data governance, documentation, monitoring, and lifecycle management.
• Promote standardization and reuse of analytics solutions across Connected Services domains.
• Support the adoption of self-service analytics tools by providing frameworks, methodologies, and guidance.

Location(s)

1000 Chrysler Drive, Auburn Hills , Michigan 48326 , United States

Requirements

Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Minimum of 8 years of experience in Data Analytics, Data Science, AI enablement, or a similar role.
• Ability to translate business challenges into scalable, reusable, data-driven analytics solutions delivering business outcomes
• Good understanding of automotive domains, especially Connected Services, vehicle features, customer behavior analytics, or mobility services.
• Experience working with large-scale data platforms and distributed processing environments.
• Strong proficiency in: Python, SQL, Spark / PySpark, Data visualization tools (Power BI or equivalent)
• Hands-on experience with Databricks or similar cloud data platforms.
• Experience with AI and Generative AI concepts:
• AI agents and intelligent workflows
• Retrieval-Augmented Generation (RAG)
• Machine Learning lifecycle concepts
• Strong communication and collaboration skills with technical and non-technical stakeholders.

Preferred Qualifications:

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Knowledge of data governance, and data quality management best practices.

Employment Type

Full-time

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Additional Job Posting Information

Our Benefits - Designed with You in Mind

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.

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