The Manager – Data Architecture role is accountable for owning and delivering end‑to‑end data architecture solutions across complex Global Logistics domains. The role leads the design, evolution, and sustainment of backend data architectures that support the full system lifecycle—build, integrate, maintain, and exit—ensuring logistics data flows are resilient, scalable, and aligned with enterprise data platform strategies.

The role translates logistics and operational requirements into architecture designs that enable high‑quality data products supporting shipment visibility, performance management, planning, compliance, and operational optimization at global scale.

The role plays a key leadership function during system transformations, including legacy modernization, external partner integrations, platform migrations, and system retirements. The Manager ensures smooth transitions with minimal data disruption by governing data models, integration patterns, data quality controls, lineage, and system dependencies across platforms. By enforcing sound architecture and system care practices, the role safeguards continuity of critical logistics data while enabling modernization and simplification of the technology landscape.

Working cross‑functionally across PGS, GSC, Global Logistics, and Digital teams, the Manager connects the technical and strategic dimensions of data architecture to support advanced analytical capabilities, including interactive, predictive, and simulative use cases. The role is expected to demonstrate strong hands‑on technical depth, contributing to the development and adoption of technologies that underpin digital data product development, analytics platforms, and scalable architecture foundations.

The position also serves as a critical connector across Global Logistics, PGS, SAP, BW, digital product teams, and broader data engineering ecosystems, ensuring architectural coherence across diverse technologies and regions. The incumbent actively supports the build, integration, maintenance, and exit of multiple systems at different maturity stages, executing and enabling the delivery of scalable, reusable data products that reliably serve global logistics functions worldwide.

JOB SUMMARY - MAIN AREA'S OF RESPONSIBILITY / ACCOUNTABILITIES

Design scalable, reusable data architectures for Global Logistics domains (shipments, lanes, carriers, inventory, cost, compliance) and define Data models, products aligned with Enterprise
Lead end‑to‑end delivery of logistics data products development
Translate business requirements into technical architecture
Own data quality, availability, and freshness of logistics data assets. Implement monitoring, alerting, and remediation frameworks.
Reduce recurring data issues and manual reconciliations.
Ensure stable operation of data pipelines wtih partners.
Architect and manage integrations between TMS, WMS, ERP, IoT, and external partners (3PLs, carriers, customs brokers).
Enable API‑based, event‑driven, and batch integrations.
Enable consumption of Logistics data for AI/ML, Analytics
Partner with Analytics, Product, and Digital Teams for Insights
Lead data migration strategies during system modernization
Ensure no business disruption or data loss during transitions.
Identify opportunities to decommission obsolete data assets and pipelines & reduce technical debt and platform sprawl.
Support business cases for platform consolidation & optimal costs
Ensure data architecture complies with GxP, SOX, Audit needs
Enforce metadata, lineage, access, and retention standards.
Act as a gatekeeper for architecture quality
Mentor and guide Senior Associates and technical contributors.
Provide architectural direction and design reviews.
Serve as a trusted data architecture partner

Education & Experience:

Bachelor's degree with 7-10 years within Digital & Technology environment within E2E supply chain
Strong skills in managing and building Data Products and designing Data Architecture for large enterprises.
Strong hands‑on experience in SQL, relational databases, data exploration, and Business Intelligence tools (Tableau, Power BI, or equivalent).
Proven ability in logical problem‑solving, data design, and analytical thinking, with working exposure to Python or similar scripting languages preferred.
Advanced proficiency in Excel for data analysis, validation, and dashboard‑ready presentations.
Solid experience ensuring data quality, integrity, and compliance across enterprise reporting and data products.
Hands‑on domain experience across Demand, Supply, Inventory Planning, Logistics Operations, and Manufacturing within Pharma / Consumer Health environments.
Strong understanding of planning, data management, order management, logistics execution, and visualization platforms.
Excellent communication and stakeholder management skills, with the ability to influence and collaborate across global, multi‑level stakeholders

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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