Head of Supply Chain Analytics and Systems

Overview

FCP Euro is seeking a senior supply chain analytics leader to define, build, and scale our supply chain analytics and planning systems capabilities. This highly visible leadership role will own the multi‑year vision and execution of analytics, optimization, and decision enablement across sourcing, inventory, demand planning, and logistics. Partner closely with Technology, Finance, and Product leadership to move the organization from manual, cost‑only decisions to optimization‑based, data‑driven supply chain management that balances cost, service, cash, and availability.

FCP Euro is an online automotive parts retailer headquartered in Milford, Connecticut. Specializing in replacement parts for European vehicles, we have earned repeated recognition on the Inc. 5000 fastest‑growing private companies list. Customer service is deeply rooted in our core values, and we are devoted to developing user‑friendly catalogs and continuous improvement.

• Strategy & Leadership Define and own the multi‑year roadmap for supply chain analytics, planning systems, and decision maturity aligned with FCP Euro’s growth strategy.
• Serve as a senior thought partner to Supply Chain, Technology, Finance, and Product leaders on analytics strategy, systems architecture, and transformation initiatives.
• Lead the adoption of automation, exception‑based management, and predictive analytics across the supply chain.
• Establish and lead a Supply Chain Analytics & Systems Center of Excellence, setting standards for modeling, governance, documentation, and operational adoption.
• Drive change by ensuring analytical capabilities are embedded into daily and weekly supply chain decision‑making, not just built but consistently used.

• Dynamic Sourcing Optimization Build sourcing logic and modeling that incorporates total landed cost, supplier performance (lead times, fill rates, OTIF), inventory position, in‑stock risk, cash flow impact, and space constraints.
• Partner with Supply Chain leadership to define dynamic weighting factors within the model, enabling intentional trade‑offs among cost, service, working capital, and availability.
• Enable dual‑sourcing allocation scenarios where viable, and proactively flag high‑risk SKU/supplier combinations with single‑source exposure.
• Replace manual sourcing decisions with a repeatable, documented, and modifiable decision engine operationalized by the Supply Chain team.

• Forward‑Looking Inventory Modeling & Exception Management Lead the development of predictive, forward‑looking inventory and demand models that move the supply chain from reactive to proactive decision‑making.
• Build inventory health models by SKU and category to surface stockout risk, excess, obsolescence, and cross‑SKU cannibalization.
• Deliver forward‑looking coverage and cash exposure insights through true exception‑based reporting.
• Provide clear decision signals for when to adjust coverage, delay or accelerate purchases, or engage the Product team to adjust lifecycle, assortment, or sourcing strategy.

• Multi‑Node Inventory Allocation & Fulfillment Readiness Prepare the supply chain for a multi‑fulfillment center future by defining analytical frameworks for inventory allocation and order routing across three plus nodes.
• Design a tool to model allocation and routing logic decisions quickly, that considers inventory availability, customer location, service promises, cost to serve and vendor constraints, enabling better decision making with the ability to model complex tradeoffs.
• Partner with Technology to evaluate OMS capabilities and define functional requirements to support future fulfillment optimization.

• Planning Systems, Data & Technology Enablement Assess the current supply chain planning toolset and define a best‑in‑class future state planning architecture.
• Evaluate whether existing tools should be enhanced, augmented, or replaced, including ML/AI‑enabled planning platforms.
• W/technology, define how planning systems integrate across OMS, ERP, MRP, and TMS to support end‑to‑end procure‑to‑pay and order‑to‑cash processes.
• Establish master data governance, system standards, and data quality controls…