Senior Product Manager 2

The Senior Product Manager 2 is a key member of the Nordstrom Inventory Product Management team, responsible for establishing and executing the strategic capability roadmap for OmniTrace, Nordstrom's AI-powered inventory intelligence platform, delivering anomaly detection, lifecycle traceability, real-time inventory visibility, and AI-driven insights across the enterprise. This role plays a critical function in shifting inventory management from reactive reconciliation to proactive, AI-assisted prevention, improving operational efficiency, reducing shrink, accelerating issue resolution, and building the foundation for self-healing, autonomous anomaly resolution. The Senior Product Manager 2 will define and own the OmniTrace product vision and multi-year roadmap, in partnership with executive leadership and cross-functional teams, and execute against it. To accomplish that, the product manager will plan the product roadmap and prioritize the applicable technology backlog, lead product discovery and prototyping, drive intake and use case definition across business domains, and measure and communicate results of the anomaly detection, traceability, and inventory visibility capabilities in production, all while ensuring stakeholder and strategic alignment across a highly cross-functional set of partners spanning Supply Chain, Store Operations, Merchandising Operations, Accounting, and Finance. A day in the life... Develop and own the strategic product vision and roadmap for OmniTrace's AI-powered anomaly detection, lifecycle traceability, and real-time inventory visibility capabilities Own the enterprise dashboard UI experience, giving business and operations teams a single, real-time view into enterprise inventory stock on hand, movement, and transaction lineage search Lead product discovery and rapid prototyping — driving aligned MVP scope, delivery estimates, and prioritized execution across anomaly detection and inventory visibility domains Own intake and use case definition, working with business partners to translate operational pain points into detection rules, decision trees, and recommended actions Define the roadmap toward self-healing, autonomous anomaly resolution — progressing use cases from detection, to AI-assisted recommendation, to human-in-the-loop automation, to guardrailed auto-resolution Partner with Supply Chain, Store Operations, Merchandising Operations, Accounting, and Finance to ground product requirements in operational and financial reality Support both front-end UI experiences and back-end system-to-system consumers, ensuring anomaly, stock on hand, movement, and lineage signals are equally usable by human operators and downstream automated workflows Build business cases with finance and business partners that quantify shrink reduction, resolution time (MTTR) improvement, and labor savings from automation Drive prioritization and alignment across cross-functional business and technology stakeholders, including engineering, data science, and operations Define product requirements, process flows, data schemas, and system integration specifications in alignment with north star architecture Define and measure KPIs for product features — detection accuracy, mean-time-to-resolution, automation/self-healing rate, search and dashboard adoption, and data freshness/latency — and support ongoing system health You own this if you have...

Minimum 5 years' experience in product management, technology, or operations Technical & Domain Expertise: Strong understanding of inventory management systems and AI/ML-driven anomaly detection concepts, including how detection models, confidence scoring, and automated recommendations are built and evaluated Strategic Vision & Ambiguity: Ability to set a compelling product vision and multi-year roadmap toward autonomous, self-healing operations, and to thrive in ambiguity where requirements, ownership, and scope are still forming Execution: