Manager- Supply Chain Operations Analyst

About this role

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.

Here Is What You Need (Minimum Requirements) • Applicant must have a bachelor's degree with at least 4 years of experience; OR a master's degree with at least 2 years of experience; OR a PhD with 0+ years of experience; OR as associate's degree with 8 years of experience; OR a high school diploma (or equivalent) and 10 years of relevant experience.

• Both of the following at a level appropriate for a manager-level role:

• Hands-on, end-to-end logistics experience — demonstrable exposure across warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics (3PL) management (not a single sub-function).

• Applied AI/analytics experience — you have personally built and delivered solutions, not just studied or advised on them.

• Proven, hands-on delivery (we are screening out theory-only candidates). You can point to specific solutions you have shipped into production, such as:

• A predictive/ML or GenAI model, copilot, or agent used by a real business team; and

• Dashboards or decision-support tools adopted into standard work with measurable impact.

• Strong data analytics and engineering skills, including SQL (required) and Python or R (preferred).

• Practical experience with modern BI, data-prep, and data-platform tools, plus machine learning / predictive modeling and scenario modeling or optimization techniques.

• Proven ability to drive AI-enabled business transformation and adoption with non-technical stakeholders.

• Excellent communication, presentation, and stakeholder-engagement skills across business and technical teams.

• Proficiency in written and verbal English.

• US-based, able to work a hybrid schedule and travel as the business requires.

Bonus Points If You Have (Preferred Requirements) • Experience in the pharmaceutical industry or a highly regulated environment (e.g., GxP/GDP context).

• Experience managing or partnering on logistics operations in a North America multi-site or global context.

• Experience with Enterpris

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