Senior Director, Warehouse Management Systems & Labor Management Systems

McKesson•Olive Branch, MS

9d•$183,500 - $305,900•Hybrid

About The Position

The Senior Director, Warehouse Management Systems (WMS) and Labor Management Systems (LMS) is a senior technology leader with end-to-end accountability for the platforms that power McKesson's distribution network. This role owns the technology strategy, modernization roadmap, delivery performance, operational reliability, and financial outcomes of systems that directly enable inventory accuracy, order fulfillment, workforce productivity, and distribution center efficiency at enterprise scale. As the primary technology partner to Distribution Operations, Strategic Distribution & Automation, and Supply Chain leadership, this leader translates business priorities into platform outcomes — balancing operational stability with modernization, engineering excellence with delivery speed, and team development with accountability. This role requires a leader who moves with urgency, builds process where none exists, champions AI adoption as a force multiplier for engineering productivity, and drives a culture where teams bring solutions — not problems. Candidates who thrive in ambiguity, challenge teams to work differently, and prove results will find this role uniquely rewarding.

Requirements

Bachelor's degree in Information Systems, Engineering, Supply Chain, or a related field (or equivalent experience).
12+ years of progressive experience in warehouse, supply chain, or enterprise systems leadership.
6+ years leading managers and senior technical or product teams.
Deep experience with Warehouse Management Systems in complex, high-volume distribution environments.
Demonstrated experience owning enterprise platforms with significant operational and financial impact.

Nice To Haves

Experience with Labor Management Systems, engineered labor standards, or workforce productivity platforms.
Experience integrating WMS with WCS/WES and material handling automation in automated distribution centers.
Experience leading mission-critical operational systems where downtime directly impacts warehouses, logistics, or manufacturing.
Demonstrated AI adoption in engineering environments — using tools like GitHub Copilot, Claude Code, or similar to measurably improve team productivity and delivery speed.
Large-scale platform modernization experience including legacy transformation and cloud adoption.
Strong executive communication and senior stakeholder leadership skills.

Responsibilities

Define, own, and execute the enterprise technology strategy, roadmap, and lifecycle management for WMS and LMS platforms across McKesson's distribution network.
Maintain full end-to-end accountability — from strategy through execution — for platform availability, delivery performance, operational reliability, and financial outcomes.
Establish clear platform principles, guardrails, and success metrics that enable disciplined, outcome-driven decision-making across engineering and operations teams.
Align WMS and LMS strategy with distribution operations, supply chain priorities, and enterprise technology architecture to ensure investments deliver measurable business value.
Drive a culture of delivery excellence — teams execute with speed, quality, and accountability in support of mission-critical distribution center operations.
Establish clear delivery standards, remove execution bottlenecks, and enable teams to ship outcomes faster while maintaining reliability and operational stability.
Own operational governance across distribution centers, ensuring Root Cause Analysis (RCA) and Corrective and Preventive Actions (CAPA) are delivered on time, clearly documented, and understood by both technical and non-technical leaders.
Define and track engineering KPIs that drive accountability and continuous improvement: Manage portfolio of projects and reduce TCO, System availability and uptime, Incident reduction and mean time to resolution, Delivery predictability and cycle time, Code quality and technical debt reduction, Automation coverage and engineering productivity.
Champion the use of AI coding tools — GitHub Copilot, Claude Code, and emerging platforms — to measurably increase engineering speed, reduce analysis time, and improve code quality across WMS and LMS teams.
Model AI-first practices personally. Build a culture of experimentation where teams identify where AI helps, prove it with results, and scale what works.
Establish repeatable, teachable examples of AI-accelerated delivery — impact analysis, code review, RCA documentation, test case generation — and actively share these across the broader engineering organization.
Drive the expectation that AI adoption is a practice built through doing, not a training program. Teams experiment, document results, and share learnings every sprint.
Partner with other engineering leaders to build a shared library of AI use cases that elevates productivity across the organization — not just within WMS and LMS.
Lead modernization of legacy WMS and LMS ecosystems — cloud enablement, scalable architectures, modern integrations, and improved data and analytics capabilities.
Evaluate and recommend platforms, tools, and technologies that improve system reliability, developer productivity, and long-term sustainability.
Establish governance for platform replacement decisions that improve operational performance and total cost of ownership.
Provide executive leadership for labor management capabilities that measure and improve workforce productivity across distribution centers.
Partner with Distribution Operations to ensure labor standards, reporting, and analytics support data-driven operational decisions.
Own budgets and financial planning for WMS and LMS platforms — operating costs, capital investments, vendor contracts, and total cost of ownership.
Ensure every technology investment delivers measurable operational and financial value; articulate ROI clearly to senior business and finance leaders.
Identify and act on opportunities to reduce cost, consolidate platforms, and improve financial efficiency across the portfolio.
Accountability for relationship management for the Distribution team, managing escalations for any of the technological components.
Service ownership / manage LMS/WMS as service.
Act as a strategic partner to Distribution Operations, Strategic Distribution & Automation, WCS/WES, Architecture, Cybersecurity, and Infrastructure teams.
Maintain senior vendor relationships — roadmap alignment, contract oversight, and performance management for WMS and LMS partners and system integrators.
Lead and develop a multi-layer organization of managers, engineers, analysts, and offshore teams.
Build a culture of accountability, ownership, operational excellence, and continuous improvement — where people are expected to grow, lead, and deliver.
Drive performance management, succession planning, and leadership development across the organization.
Recognize and amplify AI adoption and engineering innovation — build a team reputation for working differently and proving it with results.