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We are seeking a Principal Solution Architect – Manufacturing to lead the end-to-end architecture, design, and delivery of integrated manufacturing technology solutions across SAP and non-SAP platforms. This role will serve as the technical thought leader for Manufacturing Operations Management (MOM) — encompassing MES, WM, QM, SCADA, and Smart Factory systems — driving standardization, scalability, and digital innovation in support of the company’s industrial and production strategy.
Job Responsibility:
Define and drive the Manufacturing Systems Architecture Vision covering SAP S/4HANA (PP, PP-PI, QM, PM, WM, EWM), MES (SAP DM, PEO, or Non-SAP MES), PLM, and SCADA integration layers
Develop and own the Manufacturing Architecture Roadmap, aligning system evolution with enterprise goals and Industry 4.0 strategy
Provide architectural direction across MES, SAP Digital Manufacturing (DM), and Plant Connectivity (PCo)/Sepasoft integrations using OPC UA, MQTT, and API-based frameworks
Champion Smart Factory initiatives by integrating IoT, AI/ML, and data-driven analytics into manufacturing and quality processes
Lead the design and delivery of end-to-end manufacturing solutions that bridge SAP and non-SAP systems
Oversee system design reviews, technical feasibility, and integration architecture for Manufacturing, Quality, and Warehouse systems
Collaborate with System Engineers and Functional Analysts to deliver scalable, maintainable, and high-performing solutions
Define design patterns, data flow standards, and integration best practices for real-time and asynchronous communications between MES, SAP, and SCADA
Govern the use of BTP (Business Technology Platform) and Mendix for extensions and lightweight shop-floor applications
Establish and chair the Manufacturing Architecture Review Board, ensuring solution integrity and alignment with enterprise standards
Define architecture principles, review frameworks, and conduct design assurance for all manufacturing-related projects
Drive alignment between projects, production support, and business transformation initiatives, ensuring architectural consistency
Partner with the Production Support Lead to ensure post go-live sustainability, performance, and compliance
Evaluate and implement emerging technologies — including predictive maintenance, machine learning, and digital twin capabilities
Lead proof-of-concepts (POCs) for new manufacturing tools, integrations, and frameworks
Drive adoption of Agile delivery practices and promote continuous improvement in design, testing, and deployment processes
Enable interoperability between MES and PLM for improved Engineering-to-Manufacturing handoffs
Partner with Manufacturing, Quality, Supply Chain, and Finance leadership to translate operational goals into system capabilities
Serve as a trusted advisor to business stakeholders, providing guidance on feasibility, impact, and solution options
Manage relationships with implementation partners, vendors, and system integrators, ensuring adherence to design guardrails
Communicate technical roadmaps and progress updates clearly to executive stakeholders
Requirements:
Bachelor’s degree in Computer Science, Information Systems, Industrial Engineering, or related field
Master’s preferred
15+ years of experience designing and implementing manufacturing and shop-floor systems, including SAP S/4HANA PP, QM, PM, WM/EWM, and MES integrations
Deep understanding of manufacturing operations, plant maintenance, quality processes, and logistics integration
Hands-on experience with SAP Digital Manufacturing (DM), SAP PEO, or equivalent MES platforms (e.g., Sepasoft, Ignition, Dassault DELMIA)
Strong knowledge of SCADA, PLC communication standards, and data acquisition protocols (OPC UA, MQTT, REST APIs)
Familiarity with SAP BTP, Mendix, or low-code extensions for shop-floor enablement
Working understanding of SAP security, change management, and GxP/quality compliance frameworks
Experience delivering solutions in Agile or DevOps environments
Strong leadership and stakeholder management skills, capable of influencing technical and business decision-making
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