Manager- Supply Chain Operations Analyst

As the Manager, Supply Chain Operations Analyst, you will serve as the AI owner for logistics within the North America Global Supply Chain (GSC) team. This hands-on, individual-contributor role focuses on leading reporting, advanced analytics, and applied-AI initiatives across the North America logistics network. You will partner directly with operations leaders to translate business needs into scalable data, analytics, and AI-driven solutions that enhance decision-making and operational performance. As GSC evolves toward predictive, prescriptive, and agentic AI capabilities, this role ensures the function stays 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—including warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics (3PL) management. This role is US-based and collaborates closely with Canada teams.

About the Role

Our logistics and supply teams ensure customers and patients receive the medicines they need precisely when they need them. In this role, you will turn data and AI into faster, smarter decisions across the network—spotting risks before they happen, reducing manual reporting, and empowering leaders to act with confidence. By imagining new possibilities and taking decisive action, you will help accelerate the delivery of medicines to the world while positioning our function as a leader in the AI era.

Responsibilities

• Data, Analytics & AI Strategy (AI Ownership)
  • Own and execute the analytics and AI roadmap across the logistics organization, aligned with the Global digital strategy.
  • Translate business requirements into scalable data models, semantic layers, and AI-ready datasets.
  • Identify and lead opportunities to progress from descriptive to predictive, prescriptive, and agentic AI-driven decisions.
  • Champion the 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 workflows.
  • 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 an end-to-end understanding of North America logistics to frame the right problems and prioritize high-value use cases.
  • Co-create a future-focused agenda with operations teams, connecting network performance, cost-to-serve, and service outcomes.
• Implementation & Adoption
  • Lead the deployment of analytics and AI solutions across the North America logistics network.
  • Ensure solutions are user-friendly, embedded into standard work, and drive measurable business outcomes.
  • Drive change management and adoption to ensure 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, and risk/bias monitoring.

Requirements

• Minimum education and experience:
  • Bachelor’s degree with at least 4 years of experience; OR
  • Master’s degree with at least 2 years of experience; OR
  • PhD with 0+ years of experience; OR
  • Associate’s degree with 8 years of experience; OR
  • High school diploma (or equivalent) with 10 years of relevant experience.
• Both of the following at a manager-level proficiency:
  • 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 limited to 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 is required (theory-only candidates will not be considered). You must be able to 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 required by the business.

Preferred Qualifications

• 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 Enterprise Resource Planning systems (e.g., SAP) and integrated business planning.
• Track record building agentic or autonomous decision-support solutions and self-service analytics.
• Passion for advancing data literacy and AI adoption across an organization.

Skills

• Strong analytical mindset with the ability to translate data into actionable insights.
• Ability to manage multiple priorities and deliver scalable solutions independently.
• Ability to quickly learn and apply emerging technologies (AI, automation, data platforms).
• Strong stakeholder engagement and credibility as a trusted AI advisor to operations leaders.

Pay

The annual base salary for this position ranges from $99,200 to $165,400. This role is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in the share-based long-term incentive program.

Benefits

We offer comprehensive and generous benefits, including:

• A 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.
• Paid vacation, holiday, and personal days.
• Paid caregiver/parental and medical leave.
• Health benefits, including medical, prescription drug, dental, and vision coverage.

Learn more at Pfizer Candidate Site – U.S. Benefits.