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