Sr. Manager, Logistics Data & Analytics Lead

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.

** ROLE RESPONSIBILITIES
*** 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.
* Bachelor’s (Master’s preferred) degree in Computer Science, Data Science, Information Systems, or related field
* Proven leader with 6+ years driving high‑impact initiatives across supply chain, logistics, analytics, engineering, and product management in complex, global organizations.
* Requires exceptional knowledge of Supply Chain processes and applies these skills to ensure a Global Logistics organization meets its goals
* Ability to Innovate, exceptional leadership, strategic thinking, and executive communication skills are required
* Strong business acumen and ability to influence in a global, matrixed organization
* 2–3 years of hands‑on product management experience, shaping product vision and translating business priorities into scalable, data‑driven solutions.
* 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.
* Strong track record steering cross‑functional teams, aligning stakeholders, and delivering measurable business outcomes without relying on direct authority.
* Adept at simplifying complex problems, structuring roadmaps, defining success criteria, and ensuring disciplined execution from concept to adoption.
* Recognized for building high‑trust, collaborative teams—coaching talent, sharing ownership, and elevating performance across diverse skill sets.
* Deep experience converting business vision into platform and product strategy, providing both functional and technical leadership.
* Advanced expertise in data architecture, analytics delivery, KPI frameworks, and data governance.
* Practical experience with Snowflake, Tableau, modern data pipelines, and responsible AI/ML practices in regulated environments.
* Skilled in working with structured and unstructured data, rapidly adapting to new technologies and challenges, and delivering outcomes with autonomy and creativity.
* Exceptional written and verbal communication skills, able to influence at all levels of the organization.
* Advanced degree in Computer Engineering, Computer Science, Information Systems, or a related field.
* Hands‑on Agile experience with modern delivery methodologies and cross‑disciplinary team environments.
* Working knowledge of ML‑powered and LLM‑based products, including experience with agentic AI approaches.
* Experience designing automated, reusable analytic workflows and model pipelines for enterprise use.
* Strong capability in building data and analytic products that resonate with both technical and non‑technical users.
* Pharma & Life Sciences commercial domain knowledge and data literacy.
* Experience with agentic AI platforms such as Azure AI Foundry.
* ** Last Date to Apply for Job:
March 12, 2026
*** Work Location Assignment:
Hybrid. Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business
** 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. …