Solution Architect Mfg Planning

• 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.

Good to have:

• 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

• 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.