Pharma/MedTech Warehouse & TMS Transformation Consultant

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Atlanta, GAMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$94,400–$293,800 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $194k
$70k most similar roles pay here $318k

This role pays more than 70% of similar roles. Most pay $146,500–$205,400 — the shaded band above. At the midpoint, this role pays about $194k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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At a glance

TL;DR · Pharma/MedTech Warehouse & TMS Transformation Consultant

As a Pharma/MedTech Warehouse & TMS Transformation Consultant within the Supply Chain & Engineering practice, you will drive hands-on execution for warehouse and transportation management programs serving pharmaceutical, biotech, and medical device clients. You will manage project workstreams, coordinate with system integrators, and oversee implementations of SAP EWM/TM, Manhattan WMS/TM, and Blue Yonder WMS/TM platforms in GxP-regulated environments. Your daily responsibilities include designing TMS solutions for cold chain management, lane optimization, and temperature excursion alerting, while integrating these systems into broader enterprise architectures including ERP and quality management systems. You will also implement AI-driven automation for intelligent slotting and predictive quality alerts. This role solves complex logistics challenges in the life sciences sector by ensuring compliant distribution networks meet strict regulatory standards like GDP while optimizing order fulfillment processes such as pick, pack, ship, and recall workflows.

What you'll do

  • Deliver warehouse management (WMS) and transportation management (TMS) system implementations for life sciences clients.
  • Manage project workstreams and coordinate with system integrators to execute solutions on platforms like SAP, Manhattan, or Blue Yonder.
  • Complete validation activities and audit trail documentation to meet GxP and GDP regulatory standards.
  • Design TMS solutions for cold chain management, lane optimization, and temperature excursion alerting.
  • Integrate WMS and TMS platforms with enterprise systems like ERP and quality management software.
  • Apply AI and automation to warehouse operations including intelligent slotting and robotics integration.
  • Design order fulfillment processes including pick/pack/ship workflows, returns, and recall execution.
  • Develop reusable delivery assets, validated configuration templates, and warehouse design accelerators.

What we're looking for

  • Must have at least 3 years of experience delivering both warehouse management and transportation management systems in life sciences environments.
  • Must possess platform fluency in both WMS and TMS, specifically with SAP EWM/TM, Manhattan WMS/TM, or Blue Yonder WMS/TM.
  • Must have at least 3 years of TMS delivery experience specific to life sciences distribution including cold chain and lane optimization.
  • Experience integrating WMS and TMS platforms into broader enterprise architectures including ERP and quality management systems.
  • Ability to travel up to 75% of the time.
  • Working knowledge of life sciences validation concepts and quality documentation requirements like GxP and GDP (preferred).
  • Working knowledge of order fulfillment process design for pick/pack/ship, returns, and recall workflows in regulated environments (preferred).
  • Curiosity and growing fluency in AI, automation, and digital capabilities applied to warehouse operations (preferred).

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