Director, Engineering - Supply Chain
On-site · Philadelphia, Pennsylvania, United States
Job Summary
Director-level leadership of Five Below's Supply Chain Engineering organization, owning the architecture, delivery, stability, and continuous improvement of technology powering supply chain and logistics operations. Partners with Supply Chain business leaders, Product Management, Architecture, Infrastructure, Security, and Vendors to design and operate scalable solutions across distribution and fulfillment landscapes; drives modernization toward next-generation platforms (e.g., Manhattan Active) and Azure/Databricks-based data capabilities to improve OTIF, fill rate, throughput, inventory accuracy, and cost efficiency. Responsible for building high-performing teams (onshore, offshore, and partner delivery), establishing operating mechanisms for roadmaps, incident response, release governance, and measurable business outcomes; overseeing integration patterns across APIs, events, and EDI/B2B flows; ensuring security, governance, and resilience for mission-critical supply chain platforms.
Required Qualifications
- 10+ years of progressive technology leadership experience, including leading engineering teams that support supply chain, logistics, warehouse, or fulfillment operations
- Experience delivering and operating enterprise-scale supply chain platforms such as WMS, TMS, OMS, labor management, and related integration ecosystems
- Proven success building and leading highly productive engineering teams responsible for delivery, uptime, stability, and operational excellence in a high-growth, omni-channel environment
- Strong experience partnering with business leaders, product managers, and cross-functional technology teams to define roadmaps and deliver measurable outcomes
- Strong background in solution design and architecture for complex supply chain landscapes, including application, integration, data, and operational workflows across distribution and transportation domains
- Experience assessing current-state platforms, identifying modernization opportunities, and defining a pragmatic roadmap toward Manhattan Active or comparable next-generation supply chain platforms
- Experience applying data, analytics, automation, and AI-enabled capabilities to improve decision-making, visibility, and operational performance across the supply chain domain
- leading integrations and platform engineering using Azure technologies and services, along with Databricks-based data engineering, analytics, and data product patterns
- Experience managing and evolving SaaS applications in business-critical supply chain environments, including vendor coordination, service quality, roadmap alignment, and operational governance
- Ability to shape AI-enabled solutions with strong data grounding, ensuring models, insights, and automations are rooted in trusted enterprise data and practical business outcomes
- Strong understanding of production reliability, observability, SLA/SLO management, incident response, problem management, and operational readiness for business-critical supply chain platforms
- Strong understanding of security, compliance, enterprise controls, and platform governance across SaaS, integrations, and cloud-based supply chain solutions
- Experience establishing quality engineering, release governance, automation-first testing, and end-to-end validation for operationally critical workflows
- Experience driving data governance, master data quality, KPI frameworks, semantic models, and trusted data foundations that support analytics and AI
- Ability to define value hypotheses, adoption metrics, success measures, and business outcomes for modernization programs and AI-enabled investments
- Experience leading technical debt reduction, phased modernization, and change adoption across complex supply chain ecosystems
- Experience with EDI, partner connectivity, and external transaction flows across vendors, carriers, 3PLs, and related supply chain partners
- Familiarity with global trade management concepts and platforms, including customs, duty, tariff, FTZ, and cross-border process enablement
- Deep understanding of large-scale systems integration, API-based architectures, event-driven patterns, and enterprise application support models
- Demonstrated ability to lead through ambiguity, manage competing priorities, and drive clarity, accountability, and execution
- Bachelor's degree in computer science, Engineering, Information Systems, or a related field; advanced degree preferred
- Leadership profile and business-IT alignment capabilities
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