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Blue Yonder seeks a Senior Solution Architect for Manufacturing Planning to lead end-to-end implementations of BY Supply Chain Planning solutions. You will architect scalable planning models, drive design, configuration, and integration across ERP, MES, and cloud platforms, mentoring teams and ensuring adoption of AI-enabled planning methodologies.
The role requires 10+ years in supply chain planning implementations and deep domain expertise across various industries.
Solution Architect Mfg Planning Overview: Blue Yonder is a leading AI-driven Digital Supply Chain and Cognitive Planning Solutions company, enabling global enterprises to transform end-to-end supply chain operations through intelligent, autonomous, scalable, and cloud-native planning platforms. Leveraging advanced AI, Machine Learning, Optimization, and Agentic AI, Blue Yonder empowers smarter, faster, and more resilient decision-making across Demand Planning, Supply Planning, Inventory Optimization, Fulfillment, Logistics, and Manufacturing.
Lead end-to-end implementations of Blue Yonder Supply Chain Planning solutions (ESP, DSP, IO, OP, S&OP/IBP, Production Planning, Supply Planning). Architect scalable, high-performance planning solutions aligned with customer business objectives and industry best practices. Drive solution lifecycle from requirements gathering, design, configuration, integration, SIT/UAT, Go-live, and Hypercare. Provide thought leadership on supply chain transformation initiatives and AI-enabled planning journeys. Mentor consultants and guide implementation teams across functional and solution architecture areas. Support integration with ERP, APS, MES, WMS, TMS, Data Lakes, and Cloud platforms.
Design and validate complex supply planning models (multi-echelon, constrained planning, deployment, inventory optimization, sourcing prioritization, capacity planning, scenario modeling). Handle challenges involving solver behavior, planning trade-offs, data quality, performance optimization, and scalability. Develop solution design documents, functional specifications, data mapping, and testing strategies. Communicate business cases to Product Management and Development for future product enhancements. Support customer success initiatives, driving adoption of advanced planning capabilities. Act as a trusted advisor, enabling faster deployments and improved customer adoption through AI-enabled methodologies.
10+ years of experience in Supply Chain Planning implementations and consulting. Proven hands-on implementation experience in BY ESP, Demand Supply Planning, Inventory Optimization, Order Promising, and Advanced Supply Chain Planning solutions. Strong implementation experience in similar planning platforms such as Kinaxis, o9, OMP, SAP APO / IBP, and Oracle Supply Chain Planning will be considered an added advantage. Proven track record of architecting and delivering complex global supply chain transformations across CPG, Hi-Tech, Process Manufacturing, Automotive, and Industrial Manufacturing industries. Strong supply chain domain expertise is mandatory and non-negotiable. Strong customer-facing consulting and stakeholder management capabilities. Ability to independently drive solutioning discussions and architect scalable solutions for complex customer requirements.
Experience in SQL Python Experience with ORACLE and SNOWFLAKE databases Strong understanding of Supply Chain data models Experience with cloud-native planning architectures API and Integration architecture understanding BY Platform / Data Cloud / BYDM exposure AI / Digital Skills Understanding of AI/ML-driven planning capabilities in Supply Chain. Exposure to ML-based forecasting and intelligent planning solutions. Knowledge or experience in Agentic AI, AI-driven automation, or GenAI-based implementation accelerators will be a strong advantage.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Experience Level Senior Level