We are seeking a highly experienced and innovative leader to design and implement an AI-driven agentic orchestration layer across the end-to-end supply chain planning ecosystem. This role will focus on improving forecast accuracy, production planning alignment, and supplier material release quality by continuously reconciling data flows across multiple applications.
The role will leverage autonomous and multi-agent AI systems to validate master data, detect discrepancies between upstream demand signals and downstream execution outputs, and proactively identify infeasibility across planning processes.
Job Responsibilities but not limited to:
- Design and implement an agentic orchestration framework to manage end-to-end supply chain planning and reconciliation processes.
- Develop automated master data validation capabilities to ensure consistency of BOMs, lead times, lot sizes, and supplier mappings across systems.
- Continuously reconcile demand, production, and material release signals across multiple applications to detect misalignments.
- Identify and decompose discrepancies into root causes including data issues, rule transformations, timing gaps, and constraints.
- Detect and explain infeasible plans early by evaluating production capacity, supplier constraints, and inventory limitations.
- Build and operate an AI-driven Supply Chain Control Tower for real-time visibility, alerts, and exception management.
- Enable AI-powered root cause analysis and decision support to accelerate resolution of planning inconsistencies.
- Integrate data and standardize planning logic across ERP, APS, and supplier systems to establish a single version of truth.
- Establish governance, monitoring, and continuous improvement mechanisms for agent-driven workflows, including audits and human-in-the-loop controls.
Basic Qualifications:
- Bachelor’s degree in Supply Chain, Engineering, Data Science, Operations, or related field
- Minimum 8 years of experience in Supply Chain Planning (Demand, Supply, Production), Forecasting and MRP/MPS processes
- Strong understanding of: Forecast accuracy metrics (MAPE, Bias), Production planning and supplier scheduling
- Experience working with APS/Planning tools (Kinaxis, Blue Yonder, o9, etc.)
- Strong analytical and data skills (Excel, SQL; Python preferred)
- Experience in cross-functional environments involving Planning, IT, and Data team
Preferred Qualifications:
- 12 years of experience in Supply Chain Planning (Demand, Supply, Production), Forecasting and MRP/MPS processes
- Experience implementing or design:
- AI/ML-based supply chain solutions
- Agentic or workflow orchestration frameworks
- Digital Control Tower platforms
- Familiarity with:
- Microsoft Copilot Studio, Azure AI, or similar agent orchestration tools
- Data platforms such as Palantir, Snowflake or Databricks
- Experience in automotive or complex manufacturing environments
Skills Required
- Bachelor's degree in Supply Chain, Engineering, Data Science, Operations, or related field
- Minimum 8 years of experience in Supply Chain Planning (Demand, Supply, Production), Forecasting and MRP/MPS processes
- Strong understanding of forecast accuracy metrics (MAPE, Bias), production planning and supplier scheduling
- Experience working with APS/Planning tools (Kinaxis, Blue Yonder, o9, etc.)
- Strong analytical and data skills (Excel, SQL)
- Python experience
- Experience in cross-functional environments involving Planning, IT, and Data teams
- 12 years of experience in Supply Chain Planning (Demand, Supply, Production), Forecasting and MRP/MPS processes
- Experience implementing or designing AI/ML-based supply chain solutions, agentic or workflow orchestration frameworks, or Digital Control Tower platforms
- Familiarity with Microsoft Copilot Studio, Azure AI, Palantir, Snowflake, or Databricks
- Experience in automotive or complex manufacturing environments
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.
