Logistic Analyst Jobs in Tennessee (NOW HIRING)

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Use Your Power for Purpose
The Manager, Supply Chain Operations Analyst is a member of the North America Global Supply Chain (GSC) team and serves as a true AI owner for logistics - leading the reporting, advanced analytics, and applied-AI agenda across the North America logistics network. This is a hands-on, individual-contributor role that owns everything except people management, partnering directly with operations leaders to translate business needs into scalable data, analytics, and AI-driven solutions that improve decision-making and operational performance.
As GSC evolves toward predictive, prescriptive, and agentic AI capabilities, this role keeps the function ahead of the industry by advancing the AI/data foundation, enabling scenario-based and autonomous decision support, and embedding intelligent insights into day-to-day operations across the end-to-end logistics value chain - warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics (3PL) management.
This role is US-based and partners closely with our Canada teams.
Our logistics and supply teams ensure that customers and patients receive the medicines they need precisely when they need them. In this role, you will be the person who turns data and AI into faster, smarter decisions across the network - spotting risk before it happens, freeing teams from manual reporting, and helping leaders act with confidence. By imagining new possibilities and taking decisive action, you will help accelerate the delivery of medicines to the world while helping our function lead, not follow, in the AI era.
What You Will Achieve
Data, Analytics & AI Strategy (AI Ownership)
Own and execute the analytics and AI roadmap across the logistics organization, integrated with the Global digital strategy.
Translate business requirements into scalable data models, semantic layers, and AI-ready datasets.
Identify and lead opportunities to move from descriptive to predictive to prescriptive to agentic, AI-driven decisions.
Champion adoption of AI-enabled decision intelligence across supply chain, logistics, and customer service.
Visualizations, Decision Intelligence & Self-Service
Develop interactive dashboards and decision-support tools.
Embed predictive insights and AI-generated recommendations directly into dashboards and standard work.
Enable self-service analytics and AI copilots to reduce ad-hoc and manual reporting.
Enhance business reviews with scenario simulations and forward-looking insights.
End-to-End Logistics Partnership
Act as the primary AI and analytics interface to logistics operations, partnering with leaders across warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics (3PL) partners.
Apply a working, end-to-end understanding of North America logistics to frame the right problems and prioritize the highest-value use cases.
Co-create a future-focused agenda with operations teams, connecting network performance, cost-to-serve, and service outcomes.
Implementation & Adoption
Lead deployment of analytics and AI solutions across the North America logistics network.
Ensure solutions are user-friendly, embedded into standard work, and driving measurable business outcomes.
Drive strong change management and adoption so tools are used and trusted.
Data Governance, Quality & AI Trust
Ensure data accuracy, consistency, and accessibility.
Align with enterprise data governance and data-cataloging standards.
Support responsible AI principles, including:
Data transparency
Model explainability
Risk and bias monitoring
Role Scope
Individual contributor with no direct reports; owns all aspects of the work except people management.
Operates independently with judgment on complex, ambiguous problems; guides and may lead moderately complex projects influencing across the department.