Manager, Supply Chain Systems Engineering

Key Responsibilities

The Manager, Supply Chain Engineering is responsible for leading technology and engineering teams that support supply chain platforms, warehouse operations, integrations, automation, and related business capabilities. This role manages daily team execution, performance, scheduling, and talent development while also participating directly in architecture, solution design, modernization planning, platform consolidation, and responsible AI adoption. The Manager has a proven track record as a people leader and technical partner, with demonstrated potential to grow into a Sr Manager role.

Responsibilities will include, but will not be limited to the following:

• Lead, coach, and develop supply chain engineering team members, supervisors, and technical leads.
• Oversee daily schedules, capacity planning, time off requests, on-call coverage, and work prioritization.
• Conduct regular 1 on 1 meetings, performance reviews, goal setting, and development planning using SMART methodology.
• Partner with Directors, VPs, business leaders, and enterprise architecture to align team priorities to business outcomes.
• Participate in architecture and design reviews for supply chain systems, integrations, data flows, automation, and vendor solutions.
• Translate business needs into scalable, secure, supportable technical designs and implementation plans.
• Drive consolidation of overlapping systems, tools, integrations, reports, licenses, and support processes to reduce complexity and cost.
• Champion responsible AI utilization for engineering productivity, documentation, analysis, testing, monitoring, support, and operational insight.
• Ensure AI-enabled solutions follow company standards for security, data privacy, governance, auditability, and human oversight.
• Work with staff to ensure BAU support, incident response, problem management, and project deliverables are completed on time.
• Handle or guide resolution of complex technical issues where staff require leadership, escalation support, or design direction.
• Establish and monitor KPIs for delivery, system reliability, incident trends, capacity, utilization, support quality, and vendor performance.
• Ensure technical documentation, architecture notes, operational runbooks, roles and responsibilities, and SOPs are accurate and current.
• Actively communicate with business partners, escalation teams, security, infrastructure, data, and operations teams to resolve issues efficiently.
• Maintain strong knowledge of supported supply chain platforms, automation technologies, integrations, APIs, data services, and cloud/SaaS tools.
• Generate and implement operational improvement ideas that improve stability, scalability, cost, delivery speed, and team effectiveness.
• Oversee department technology budgets, licensing, vendor support, OpEx/CapEx reporting, and accurate time tracking.
• Maintain vendor relationships and hold partners accountable for service quality, roadmap alignment, pricing, delivery, and support commitments.
• Additional duties as assigned.

Professional Experience and Requirements:

• High School Diploma or GED required.
• Bachelor's Degree in Information Technology, Engineering, Supply Chain, Business, or related field preferred; equivalent experience considered.
• 8+ years of relevant technology, engineering, operations, or supply chain systems experience.
• 3+ years of people leadership experience, including coaching, performance management, prioritization, and team development.
• Supply Chain Technology: Working knowledge of WMS, WES, WCS, OMS, TMS, inventory, fulfillment, warehouse automation, EDI, APIs, integrations, and data platforms.
• Architecture & Design: Able to participate in solution architecture, design reviews, technical tradeoff discussions, implementation planning, testing strategy, change impact assessment, and rollback planning.
• AI Enablement: Practical understanding of AI-assisted engineering, documentation, knowledge management, analytics, automation, and support use cases, with sound judgment around responsible and secure AI adoption.
• Consolidation & Optimization: Able to identify duplicate systems, tools, reports, processes, licenses, and vendor services, then build rationalization pl