Manager – Supply Chain Operations Analyst

Pfizer

. Own and execute the analytics and AI roadmap across the logistics organization, integrated with the Global digital strategy .

Posted 10/14/2026full-timeUnited StatesSeniorLead💰 $99,200 - $165,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and analytics within logistics, focusing on developing predictive models, interactive dashboards, and decision-support tools that drive business transformation. Proficient in data governance, ensuring data accuracy and accessibility while championing AI-enabled decision intelligence across supply chain operations.

Highest-signal resume keywords

AI-Enabled Decision IntelligenceData Analytics and EngineeringSQL ProficiencyPredictive ModelingLogistics Operations Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPredictive AnalyticsMachine LearningScenario ModelingData PreparationData GovernanceDashboard DevelopmentAI Solutions DeploymentStatistical AnalysisData Accuracy Assurance

Soft Skills

Excellent CommunicationStakeholder EngagementChange ManagementProblem SolvingTeam Collaboration

Tools & Technologies

SQLPythonRBusiness Intelligence ToolsEnterprise Resource Planning SystemsData PlatformsAI CopilotsDecision-Support ToolsData Cataloging StandardsSelf-Service Analytics

Industry Keywords

LogisticsSupply ChainThird-Party LogisticsNorth America LogisticsPharmaceutical IndustryRegulated EnvironmentFreight ManagementInventory PlanningDemand PlanningGlobal Logistics Operations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 advance from descriptive to predictive, prescriptive, and agentic AI-driven decisions
Champion AI-enabled decision intelligence across supply chain, logistics, and customer service
Develop interactive dashboards and decision-support tools
Embed predictive insights and AI-generated recommendations 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
Serve as the primary AI and analytics interface to logistics operations across warehousing, transportation, demand and inventory planning, and 3PL partners
Apply end-to-end North America logistics knowledge to frame problems and prioritize high-value use cases
Co-create a future-focused agenda connecting network performance, cost-to-serve, and service outcomes
Lead deployment of analytics and AI solutions across the North America logistics network
Ensure solutions are user-friendly, embedded into standard work, and deliver measurable business outcomes
Drive change management and adoption so tools are used and trusted
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 and bias monitoring
Operate independently on complex, ambiguous problems and guide or lead moderately complex cross-departmental projects

Requirements

What you’ll need

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) and 10 years of relevant experience
Hands-on, end-to-end logistics experience across warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics (3PL) management
Applied AI/analytics experience with personally built and delivered solutions
Proven hands-on delivery of production solutions, including a predictive/ML or GenAI model, copilot, or agent used by a real business team
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
Experience with 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
Permanent work authorization in the United States; U.S. work visa sponsorship is not available
Preferred: pharmaceutical industry or highly regulated environment experience
Preferred: North America multi-site or global logistics operations experience
Preferred: Enterprise Resource Planning systems such as SAP and integrated business planning
Preferred: agentic or autonomous decision-support solutions and self-service analytics experience

Benefits

Comp & perks

Global Performance Plan with a bonus target of 12.5% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility