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Description
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The ideal candidate will have been a Solution Architect or Enterprise Architect, preferably in Manufacturing and deep knowledge of manufacturing operations, industrial automation, machine reliability and enterprise systems integration (such as MES, ERP, PLM, Maximo and SCADA).
Key Responsibilities:
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Collaborate with business stakeholders, engineers, and IT teams to define solution requirements aligned with manufacturing strategy.
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Design scalable, secure, and efficient solutions integrating shop floor systems (e.g., MES, SCADA) with enterprise applications (e.g., ERP, PLM, QMS).
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Lead solution design for smart factory initiatives, including IoT, data analytics, and digital twin technologies.
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Evaluate and select appropriate technologies, tools, and vendors for manufacturing systems.
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Ensure solutions comply with enterprise architecture standards, cybersecurity, and regulatory requirements.
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Provide technical leadership and guidance throughout project lifecycles—from conceptual design to implementation, with active leadership in daily operations by being embedded in a Solution Pillar, attending daily, weekly and sprint team ceremonies
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Support process mapping, gap analysis, and system configuration in coordination with cross-functional teams.
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Create and maintain architectural documentation including system blueprints, data flow diagrams, and integration patterns.
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Identify and mitigate risks associated with solution design and delivery.
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Stay current with trends in Industry 4.0, manufacturing technologies, and digital transformation.
Qualifications:
Education:
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Bachelor's degree in Computer Science, Engineering, Industrial Technology, or related field (Master’s preferred).
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Experience:
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10+ years of experience in IT, systems integration, or enterprise architecture roles.
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5+ years of experience specifically in manufacturing or industrial automation environments.
Technical Skills:
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Deep understanding of manufacturing operations and technologies (e.g., MES, SCADA, PLCs, HMI, DCS, and Networking).
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Understanding and Experience with Maximo or other Machine Reliability and Reliability Centered Maintenance tools
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Familiarity with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics).
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Experience with cloud platforms (e.g., AWS, Azure) and edge computing.
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Knowledge of data modeling, integration patterns (e.g., APIs, middleware, OPC-UA, MQTT), and cybersecurity in OT/IT environments.
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Experience with Industry 4.0 technologies: IIoT, predictive maintenance, digital twins, etc.
Soft Skills:
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Strong analytical and problem-solving and questions skills.
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Excellent communication and stakeholder management abilities.
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Ability to lead cross-functional teams and manage multiple priorities to
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Understand and assess changing business needs while considering the impact on both technology and business.
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Effectively articulate and communicate business alternatives to a variety of audiences across the business (Product Owners, Chief Product Owners) and ITx leadership (Technical Leads and Senior Management)
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Continual focus on new technologies, platforms, strategies, and solutions for the future based on technical and economic feasibility
Preferred Certifications:
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TOGAF, ArchiMate, or other architecture frameworks.
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Certifications in MES or ERP platforms (e.g., SAP PP/ME, Rockwell, Siemens).
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PMP or Agile project management certifications.
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Specific AWS or Azure Solution Architecture Certifications
Additions Beneficial Qualifications:
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If you have Developed & deployed Predictive Maintenance (PdM) Enterprise solutions integrating Equipment Data collection / Sensors (Heat, Vibration, Cycle times), Machine Learning / AI models, Mobile application, notifications, and integrations.
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Lead regular reviews of the portfolio(s) to identify opportunities for improvement in the areas of stability, performance, and complexity reduction
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Hands-on Application Development experience.
Deliverables:
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Process Flows
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Mentor and Knowledge transfer to client project team members
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Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility
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Participate in data conversion and data maintenance
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Provide best practice and industry specific solutions
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Advise on and provide alternative (out of the box) solutions
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Provide thought leadership as well as hands on technical configuration/development as needed.
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Participate as a team member of the functional team
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Perform other duties as assigned.
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