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).
Responsibilities include but not limited to:
- 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)
Basic Qualifications:
- 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
Preferred Qualifications:
- 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)
Skills Required
- 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
- Strong working knowledge of Agile delivery (Scrum/Kanban)
- Proven skills in dependency management, risk/issue management, and executive-ready status reporting
- Strong communication and facilitation skills
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
