Sr. Manager, Logistics Data & Analytics Lead

Role Summary

Join Pfizer Global Supply Digital as a Senior Manager, Logistics Data & Analytics. This role operates as a trusted functional partner to Global Logistics, owning complex data and analytics capabilities that enable operational excellence and informed decision‑making. The position balances advanced functional expertise, people leadership, and execution of senior‑leader defined objectives, with impact primarily across the Global Logistics function and PGS Digital.

• Own and evolve Global Logistics data architecture and analytics capabilities, applying advanced functional expertise to solve ongoing, complex operational challenges.
• Serve as a subject‑matter leader for enterprise data models supporting shipments, sustainability, freight accruals, and logistics KPIs.
• Execute against objectives set by senior leadership by translating targets into clear team goals, milestones, and delivery outcomes.
• Lead delivery of complex analytics initiatives (e.g., carrier performance, routing adherence, lead times, temperature excursions) with accountability for accuracy, consistency, and adoption.
• Define and govern business rules, KPI logic, and master data alignment to ensure repeatable, enterprise‑grade analytics outputs.
• Apply Snowflake and Tableau proficiency to guide data‑driven decisions; influence solution design rather than acting as an individual contributor.
• Act as a trusted partner to Logistics, Digital, and platform teams, independently leading complex meetings and driving alignment across matrixed stakeholders.
• Lead cross‑functional initiatives involving internal teams and external vendors, managing priorities, dependencies, and trade‑offs.
• Develop solutions to high‑complexity problems by interpreting PGS strategies and establishing actionable priorities that improve logistics performance.
• Identify and apply emerging analytics and AI capabilities where they deliver clear operational value, exercising sound judgment and risk awareness.
• Directly lead and develop skilled technical and analytical professionals, fostering accountability, engagement, and continuous capability growth.
• Coach, mentor, and support succession planning in line with Pfizer’s Collective Talent Management approach.
• Measure success through both individual performance and team outcomes, consistent with Senior Manager expectations.

• Required:
  
  Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s degree preferred).
• Required:
  
  6+ years driving high‑impact initiatives across supply chain, logistics, analytics, engineering, and product management in complex, global organizations.
• Required:
  
  Exceptional knowledge of Supply Chain processes and ability to apply these skills to ensure a Global Logistics organization meets its goals.
• Required:
  
  Ability to innovate, exceptional leadership, strategic thinking, and executive communication skills.
• Required:
  
  Strong business acumen and ability to influence in a global, matrixed organization.
• Required:
  
  2–3 years of hands‑on product management experience, shaping product vision and translating business priorities into scalable, data‑driven solutions.
• Required:
  
  2+ years of cloud‑based software development experience (AWS preferred), with the technical depth to guide architecture and the strategic clarity to influence product direction.
• Required:
  
  Strong track record steering cross‑functional teams, aligning stakeholders, and delivering measurable business outcomes without relying on direct authority.
• Required:
  
  Adept at simplifying complex problems, structuring roadmaps, defining success criteria, and ensuring disciplined execution from concept to adoption.
• Required:
  
  Recognized for building high‑trust, collaborative teams—coaching talent, sharing ownership, and elevating performance across diverse skill sets.
• Required:
  
  Deep experience converting business vision into platform and product strategy, providing both functional and technical leadership.
• Required:
  
  Advanced expertise in data architecture, analytics delivery, KPI frameworks, and data governance.
• Required:
  
  Practical experience with Snowflake, Tableau, modern data pipelines, and responsible AI/ML…