Strengthen organizational capability by mentoring team members, leading design and code reviews, supporting cybersecurity compliance, and promoting best practices that improve quality, efficiency, and long-term supportability.
To be successful in this role you will need the following
Security & Compliance Principles - Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle for products, services, apps, systems, software, and configurations—balancing protection, efficiency, and cost.
Programming Principles - Applies programming languages, frameworks, and patterns to design, write, configure, test, and maintain software/solutions/systems that are efficient, secure, scalable, and reliable.
Data Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance—enabling trusted, scalable, cost-conscious data use.
Modern Development Practices - Applies modern engineering practices and tools—such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code—to accelerate delivery, improve quality, and reduce risk across the SDLC.
Solution Design - Translate business requirements into integrated designs, architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter platforms.
Demonstrating Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs.
Strategic and Innovative Thinking - Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations to shape strategy and create durable value with cost-aware innovation.
Technical Passion & Drive - Models curiosity and excitement for technology by self-initiating continuous development, experimenting with emerging technologies, and identifying insertion opportunities that accelerate business performance.
Driving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results.
Engaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes.
Values Differences - Recognizing the value that different perspectives and cultures bring to an organization.
Ensuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust.
Education, Licenses, Certifications
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.
Experience
Significant relevant experience required. 5-7 years of experience.
The Solution Engineer Principal – Blue Yonder WMS is responsible for providing technical and functional leadership for Cummins' global warehouse management platform strategy. This role owns the end-to-end solution architecture, 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 between business leadership, warehouse operations, product management, IT engineering teams, and Blue Yonder product organizations to deliver scalable, innovative, and future-ready warehouse solutions. The role drives strategic transformation initiatives including Cognitive WMS adoption, AI-enabled warehouse operations, automation technologies, workforce optimization, analytics modernization, and global deployment governance.
Key Responsibilities
Strategic Product Leadership
Define and execute the multi-year roadmap for Blue Yonder WMS across global logistics and manufacturing operations.
Act as the enterprise subject matter expert and technical authority for Blue Yonder WMS, WLM, Automation, AI Agents, and Analytics capabilities.
Lead the modernization strategy from RP2009 and 2022/2024 environments to Cognitive WMS architecture.
Establish solution standards, governance models, design principles, and implementation frameworks for all warehouse deployments.
Partner with business and IT leadership to identify opportunities for productivity improvement, automation, and digital transformation.
Global Program & Deployment Leadership
Lead the upgrade of 11 existing RP2009 sites and multiple 2022/2024 sites to the Cognitive platform while ensuring minimal business disruption.
Govern the deployment of Cognitive WMS across multiple greenfield and brownfield warehouse implementations globally.
Guide solution design and implementation for warehouses integrated with manufacturing facilities, automation equipment, and enterprise systems.
Provide oversight and leadership across SIT, UAT, Cutover, Hypercare, and Go-Live activities.
Establish deployment playbooks, repeatable implementation templates, and operational readiness frameworks.
Advanced Warehouse Automation & Innovation
Define strategies for integrating warehouse automation solutions 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
Solution Architecture & Engineering Leadership
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.
Analytics & Decision Intelligence
Lead the transformation 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.
Partner with BI teams to develop predictive and real-time reporting capabilities.
Qualifications
Required
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 in designing enterprise-scale integrations between Blue Yonder WMS and ERP platforms such as Oracle ERP, SAP, and middleware solutions including MuleSoft.
Strong knowledge of warehouse operations
Receiving
Putaway
Inventory Management
Replenishment
Picking
Packing
Shipping
Value Added Services (VAS)
Strong technical expertise in
MOCA Development
SQL
Integrator Framework
APIs
Data Architecture
Performance Optimization
Experience leading automation initiatives involving AGV, AMR, ASRS, and robotics technologies is an added advantage
Preferred
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.
