Supply Chain Automation & AI Lead

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