Nordstrom
Sr. Principal Engineer – Inventory Network & Operations - Hybrid - Seattle
Nordstrom, Seattle, Washington, us, 98127
A Sr. Principal Engineer at Nordstrom serves as a strategic technical consultant influencing enterprise-wide architecture and engineering practices. This role drives design trade-offs, solves systemic challenges, identifies industry trends for implementation, and ensures solutions are robust, scalable, and cost-effective. The Sr. Principal Engineer shapes Nordstrom's technology landscape while maintaining a "One Nordstrom" perspective.We seek a Sr. Principal Engineer to unify fragmented inventory systems through integration architecture and common inventory language, enabling near real-time operational visibility. You will oversee integration between physical (warehouse, store) and financial (RMS, ERP) systems while driving warehouse consolidation onto a single WMS platform and store inventory ownership migration. This role requires extensive collaboration across Product, Engineering, Merchandising, and Supply Chain teams to establish enterprise-wide inventory standards. Establish and drive adoption of standardized terminology and data models for inventory status, location, and movement across supply chain, merchandising, and store operations, collaborating with business and technical stakeholders to ensure organizational buy-in and consistent implementation.**Enterprise Experience:** 15+ years of software engineering experience with enterprise-scale inventory systems and a Bachelor's or Master's degree in Computer Science or related field.
Experience establishing common data models and standardized terminology across multiple technical and business domains.**System Integration:** Proven ability to design integration layers that unify disparate inventory systems across supply chain, merchandising, finance, and store operations while building co sensus across diverse stakeholder groups.
Demonstrated ability to drive technical strategy, establish enterprise standards, and influence architectural decisions across multiple organizations through collaborative leadership and clear communication.**Solution Evaluation:** Experience conducting build vs. buy analyses for enterprise systems, evaluating vendor solutions against integration requirements, and making recommendations that balance capability, cost, and architectural fit. **Multi-Owner Inventory:** Experience with complex inventory ownership models, including multi-party architectures or marketplace environments Experience with enterprise WMS and inventory management platforms, preferably including Manhattan Active or Oracle systems (MFCS, SIM), with strong API and integration pattern expertise. Familiarity with agentic systems and AI/ML applications for inventory optimization, auditing and predictive analytics in supply chain operations. #J-18808-Ljbffr
Experience establishing common data models and standardized terminology across multiple technical and business domains.**System Integration:** Proven ability to design integration layers that unify disparate inventory systems across supply chain, merchandising, finance, and store operations while building co sensus across diverse stakeholder groups.
Demonstrated ability to drive technical strategy, establish enterprise standards, and influence architectural decisions across multiple organizations through collaborative leadership and clear communication.**Solution Evaluation:** Experience conducting build vs. buy analyses for enterprise systems, evaluating vendor solutions against integration requirements, and making recommendations that balance capability, cost, and architectural fit. **Multi-Owner Inventory:** Experience with complex inventory ownership models, including multi-party architectures or marketplace environments Experience with enterprise WMS and inventory management platforms, preferably including Manhattan Active or Oracle systems (MFCS, SIM), with strong API and integration pattern expertise. Familiarity with agentic systems and AI/ML applications for inventory optimization, auditing and predictive analytics in supply chain operations. #J-18808-Ljbffr