Program Manager - Supply Chain AI

Stellantis•Auburn Hills, MI

About The Position

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the Program Manager for the Supply Chain AI & Automation team, you will drive end-to-end delivery of a portfolio that spans data engineering, data science, agentic AI, RPA, and process mining initiatives. This role owns the execution engine behind the team: planning and prioritization, stakeholder alignment, delivery governance, risk and dependency management, and transparent reporting. You will operate independently, bring structure to ambiguity, and partner closely with product, engineering, and business leaders to deliver measurable outcomes (cost, service, resilience, and productivity).

Requirements

Bachelor’s degree in Business, Engineering, Computer Science, or a related field
8+ years of professional experience in project/program management delivering data & analytics initiatives
Demonstrated ability to operate independently, bring structure to ambiguity, and drive delivery with minimal oversight
Experience managing cross-functional delivery across engineering, data/AI, and business stakeholders
Strong working knowledge of Agile delivery (Scrum/Kanban), including backlog management and sprint execution
Proven skills in dependency management, risk/issue management, and executive-ready status reporting
Strong communication and facilitation skills; ability to influence without authority

Nice To Haves

Experience delivering AI/analytics, data platform, automation (RPA), or process transformation initiatives
Experience in supply chain domains (planning, logistics, manufacturing, procurement) and enterprise systems (ERP/WMS/TMS)
PMP, PMI-ACP, CSM/PSM, or SAFe certification
Experience with change management and adoption (communications, training, operational readiness)
Experience coordinating AI/ML model lifecycle in production (monitoring routines, retraining/revalidation, and controlled rollout/rollback)
Experience with portfolio reporting tools (Jira, Azure DevOps, Smartsheet, MS Project, Power BI)

Responsibilities

Own end-to-end project delivery for a portfolio of AI and automation initiatives (plan, scope, schedule, budget, risks, and outcomes)
Facilitate planning and delivery ceremonies (intake, prioritization, sprint planning, standups, demos, retrospectives)
Build and maintain integrated delivery plans that capture milestones, dependencies, and critical path across workstreams
Drive cross-functional stakeholder alignment across supply chain operations, IT, data/AI, security, and platform teams
Lead business requirements discovery and translate needs into clear epics/stories, acceptance criteria, and measurable outcomes in partnership with product and domain owners
Manage risks, issues, and decisions, proactively surface tradeoffs, and drive resolution
Establish and run delivery governance (status reporting, KPI/OKR tracking, executive readouts)
Coordinate release readiness for production deployments (communications, training, hypercare, and adoption tracking)
Drive adoption and value realization: stakeholder readiness, process updates, training enablement, communications, and adoption/KPI tracking post-launch
Coordinate model and agent lifecycle activities with data science/AI engineering and platform teams (release gating, monitoring review cadence, retraining triggers, incident response, and rollback plans)
Support vendor/partner coordination where applicable (SOW milestones, deliverables, and performance)
Continuously improve the team’s operating model (templates, playbooks, cadence, and metrics)