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
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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 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.
Key Capabilities
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 the credibility to be a trusted AI advisor to operations leaders.
OTHER JOB DETAILS
Last Date to Apply for Job: August 18th, 2026
Eligible for Relocation Package: NO
Work Location Assignment: Hybrid or Onsite
The annual base salary for this position ranges from $99,200.00 to $165,400.00. In addition, this position 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 our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Logistics & Supply Chain Mgmt
