AI & BI Lead

Stellantis•Auburn Hills, MI

11d

About The Position

The AI & BI Manager leads Stellantis’ North American strategy for Artificial Intelligence, Business Intelligence, and data‑driven digital transformation across all NA Parts & Services domains. This role manages a portfolio of AI initiatives—such as advanced analytics, ChatGPT‑style copilots, document intelligence, predictive models, and intelligent dashboards—while driving alignment with global AI strategies and the Value Creation Plan (VCP).

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Analytics, or related field.
Minimum 7+ years of experience in AI, analytics, BI, or data platforms, with at least 3+ years in leadership or managerial roles.
Hands‑on experience with modern AI technologies (LLMs, vector search, RAG, predictive modeling) and BI platforms (Power BI, Azure analytics stack).
Proven ability to lead cross-functional technical programs, governance structures, and multi‑workstream portfolios.
Strong communication skills with experience presenting to executive leadership.

Nice To Haves

Experience in automotive, mobility, or manufacturing AI use cases (warranty prediction, pricing optimization, demand planning).
Understanding of AI architecture (model ops, APIs, vector databases, semantic search).
Familiarity with enterprise platforms used at Stellantis (Salesforce, Adobe, ServiceNow, Azure).
Experience partnering with global teams and matrixed organizations.

Responsibilities

Lead North America’s ICT AI & BI roadmap aligned with VCP priorities, including predictive, generative, and agentic AI use cases, reflecting expectations from the leadership stream.
Govern AI & BI program intake, prioritization, vendor selection, and execution—including coordination with ICT Data, Purchasing, and business leadership.
Establish best practices for responsible AI usage, data privacy, model validation, and deployment lifecycle.
Own BI strategy and architecture across NA ICT P&S, driving the evolution of Power BI and advanced analytics dashboards—including AI-enhanced reporting initiatives.
Integrate new data sources and AI predictions into business dashboards.
Partner with BI developers and data engineers to build automated, scalable, multi-domain reporting ecosystems.
Serve as Product Owner for AI-powered solutions.
Ensure alignment with emerging technologies and platforms already used in the org.
Collaborate across ICT, Aftersales, eCommerce, Dealer Experience, Customer Care, Finance, Sales, and Engineering teams to deliver high‑impact solutions.
Support executive reviews, strategic storytelling, and AI portfolio presentations.
Manage NA engagement for global AI initiatives, ensuring regional needs are represented.
Manage a specialized team (data scientists, BI specialists, automation engineers, LLM designers).
Oversee vendor relationships and proposal evaluations.
Ensure delivery quality, adherence to timelines, and alignment with purchasing and legal requirements.