Manager- Supply Chain Operations Analyst

Hospira, Inc., a Pfizer company, is hiring a Manager, Supply Chain Operations Analyst to own the analytics and applied-AI agenda across the North America logistics network. The role develops and deploys data models, dashboards, predictive insights, and AI-enabled decision tools while partnering with logistics operations to improve decision-making and performance.

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Preferred

• Python or R (preferred)
• 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
• 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
• Python
• R
• Pharmaceutical Industry Experience
• GxP/GDP Experience
• Logistics Operations
• Multi-Site Operations
• Enterprise Resource Planning
• SAP
• Integrated Business Planning
• Agentic Decision-Support Solutions
• Autonomous Decision-Support Solutions
• Self-Service Analytics
• AI Adoption
• Data Literacy Advancement
• Data-Driven Insights
• Scalable Solutions
• Emerging Technologies
• AI
• Data Platforms
• Analytical Mindset
• Passion for Data Literacy
• Priority Management
• Independent Work
• Rapid Learning
• Trusted Advisory Skills

Benefits

• Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary
• Eligibility to participate in our share based long term incentive program
• 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 to include medical, prescription drug, dental and vision coverage
• Work Location Assignment: Hybrid or Onsite

Company

• Biopharmaceutical medicines and vaccines development
• New York, New York, USA
• http://www.pfizer.com/
• Founded in 1849
• 10001+ employees

Qualifications

• 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
• 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
• 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)
• 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
• 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
• This position requires permanent work authorization in the United States
• Python or R (preferred)
• 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
• 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
• 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.

Required skills

• Applied AI, Change Management, Dashboard Development, End-to-End Logistics, Integrated Business Planning, Machine Learning and Predictive Modeling, Python, R, SAP, SQL, Scenario Modeling and Optimization, Stakeholder Engagement, Supply Chain Analytics

Preferred skills

• Python or R (preferred)