About The Position

The Solution Engineer Principal – Blue Yonder WMS provides technical and functional leadership for Cummins’ global warehouse management platform strategy. The role owns end-to-end solution architecture, the product roadmap, and enterprise-wide adoption of Blue Yonder WMS capabilities across distribution centers, manufacturing warehouses, and automated facilities. The position serves as the primary liaison among business leadership, warehouse operations, product management, IT engineering teams, and Blue Yonder product organizations. It leads strategic transformation initiatives involving Cognitive WMS, AI-enabled warehouse operations, automation, workforce optimization, analytics modernization, and global deployment governance. The role also leads solution design and implementation, establishes enterprise standards and governance, oversees upgrades and global deployments, and drives warehouse reporting and analytics modernization. The posting also describes broader solution engineering responsibilities, including translating complex business and technical requirements into scalable designs, guiding data migration, maximizing standard application functionality, evaluating technology options, and mentoring team members.

Requirements

  • College, university, or equivalent degree in Computer Science, Information Technology, Business, or a related subject, or relevant equivalent experience.
  • Significant relevant experience; the posting states 5–7 years of experience in one section.
  • 10+ years of hands-on experience with Blue Yonder/JDA/RedPrairie WMS implementations and support.
  • Experience leading at least 5 large-scale global WMS implementations, upgrades, or transformation programs.
  • Deep expertise in Blue Yonder Cognitive Platform, WMS, WLM, and related supply chain solutions.
  • Experience designing enterprise-scale integrations between Blue Yonder WMS and ERP platforms such as Oracle ERP and SAP, and middleware such as MuleSoft.
  • Strong knowledge of warehouse operations, including receiving, putaway, inventory management, replenishment, picking, packing, shipping, and value-added services.
  • Strong technical expertise in MOCA development, SQL, Integrator Framework, APIs, data architecture, and performance optimization.
  • Ability to apply security, privacy, and compliance principles throughout the design, build, test, and operations lifecycle.
  • Ability to apply programming languages, frameworks, and patterns to design, configure, test, and maintain efficient, secure, scalable, and reliable systems.
  • Ability to govern, model, secure, implement, and observe data flows to support integrity, quality, and compliance.
  • Knowledge of modern development practices and tools, such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code.
  • Ability to translate business requirements into integrated designs, architectures, patterns, and system interactions aligned with enterprise standards.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Nice To Haves

  • Experience leading automation initiatives involving AGV, AMR, ASRS, and robotics technologies.
  • Experience implementing Blue Yonder Cognitive WMS versions 2026 and above.
  • Experience with AI-enabled warehouse optimization and autonomous warehouse capabilities.
  • Experience with Blue Yonder AI Agents, Slotting, Resource Optimization, and Workforce Management solutions.
  • Experience with Snowflake, cloud-native analytics platforms, and real-time reporting architectures.
  • Experience managing global product roadmaps, budgets, and vendor partnerships.

Responsibilities

  • Define and execute the multi-year Blue Yonder WMS roadmap across global logistics and manufacturing operations.
  • Serve as the enterprise subject matter expert and technical authority for Blue Yonder WMS, WLM, Automation, AI Agents, and Analytics capabilities.
  • Lead modernization from RP2009 and 2022/2024 environments to Cognitive WMS architecture.
  • Establish solution standards, governance models, design principles, and implementation frameworks for warehouse deployments.
  • Partner with business and IT leadership to identify productivity, automation, and digital transformation opportunities.
  • Lead upgrades of 11 existing RP2009 sites and multiple 2022/2024 sites to the Cognitive platform while minimizing business disruption.
  • Govern Cognitive WMS deployments across global greenfield and brownfield warehouse implementations.
  • Guide warehouse solution design and implementation, including integrations with manufacturing facilities, automation equipment, and enterprise systems.
  • Oversee SIT, UAT, cutover, hypercare, and go-live activities.
  • Establish deployment playbooks, repeatable implementation templates, and operational readiness frameworks.
  • Define strategies for integrating warehouse automation with production lines and manufacturing operations.
  • Partner with Blue Yonder and automation vendors to implement emerging technologies and next-generation warehouse capabilities.
  • Evaluate and drive adoption of AI-powered warehouse solutions.
  • Own enterprise-level solution architecture and integration patterns.
  • Review and approve technical designs, architecture decisions, integration strategies, and development standards.
  • Establish coding standards, performance benchmarks, and deployment governance practices.
  • Lead modernization of warehouse reporting and analytics using Blue Yonder Analytics Workbench and Cognitive Analytics capabilities.
  • Define enterprise KPI standards and performance dashboards for operational and executive leadership.
  • Promote data-driven decision-making across warehouse operations and partner with BI teams on predictive and real-time reporting.
  • Analyze complex business and technical requirements and translate stakeholder needs into scalable designs aligned with enterprise architecture.
  • Drive data migration strategies that improve system performance, reduce disruption, and support business transformation.
  • Identify opportunities to use standard application functionality and reduce customization and long-term support costs.
  • Evaluate technology solutions for scalability, integration complexity, technical fit, total cost of ownership, and alignment with business objectives.
  • Serve as a technical advisor and liaison among internal teams, vendors, and service providers.
  • Mentor team members, lead design and code reviews, support cybersecurity compliance, and promote engineering best practices.
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