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Search Results Connected Services Analytics & AI Enablement Lead Job ID:

2021042

Career Area:

Engineering Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326 ,

US Date Posted:

August 28, 2026

Brand:

FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001219771806&c=2183219&d=ExternalCareerSite&rb=

SYMPHONYTALENT

You are being redirected Once you are on the page, please click the refer button Job Overview Qualifications Benefits Job Overview 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. AI & Intelligent Solution Enablement 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.

Qualifications 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 Large Language Models (LLMs) 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. Benefits Salaried Employee Benefits (US, Non-Represented) Health & Wellbeing Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends. EOE/Disability/Veteran 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. Our benefits reflects the

STELLANTIS

commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life. As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired. We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected. Apply Join our Talent Community Create a talent profile to receive relevant job alerts and the latest company news! If you're a U.S. Veteran, please sign up through our Veterans Recruiting Program page. Create a Talent Profile Sign into your profile