• Partner with engineers, researchers, and technical stakeholders to understand engineering practices, workflows, information needs, and opportunities for improvement.
• Perform systems analysis of engineering workflows, product data, lifecycle states, system interactions, application behavior, and integrated data flows.
• Lead stakeholder interviews, working sessions prototype reviews, etc. and translate engineering needs into requirements, user stories, workflows, use cases, acceptance criteria, data definitions, and testable system behavior.
• Collaborate with architects, developers, QA, product owners, and users throughout solution design, development, testing, deployment, and continuous improvement.
• Evaluate workflows, data structures, configurations, integrations, and application behaviors to identify practical solution approaches.
• Analyze PLM and related enterprise systems, including integrations and data exchanges with ERP, MES, engineering, modeling, and analysis applications.
• Perform and support configuration, testing, troubleshooting, validation, and defect analysis within enterprise engineering platforms.
• Facilitate stakeholder discussions and use prototypes or working software to validate requirements and refine solutions.
• Recommend improvements that enhance engineering collaboration, traceability, data quality, usability, and decision-making.
Requirements:
• Bachelor’s degree in Engineering, Computer Science, Information Systems, Business Analytics, Data Science, or related discipline.
• 5+ years supporting PLM platforms
• Experience supporting PLM, product data management, engineering data management, configuration management, technical document management, or product development applications.
• Experience working directly with engineers, researchers, scientists, or technical subject-matter experts.
• Experience analyzing and translating complex engineering needs into functional requirements and testable system behavior.
• Experience with Agile/iterative software development and the SDLC.
• Understanding related enterprise systems such as ERP and MES.
• Experience with configurable enterprise platforms, workflows, data models, integrations, or system interfaces.
• Strong systems-thinking, analytical, communication, facilitation, and problem-solving skills.
• Ability to work effectively in ambiguous, evolving engineering environments while avoiding unnecessary process rigidity.
Preferred Qualifications:
• Aras Innovator experience.
• Digital Engineering, Digital Thread, MBSE, systems engineering, or engineering data management experience.
• SAP/ERP integration experience.
• SQL and/or enterprise data analysis experience.
• Familiarity with APIs, REST, XML, JSON, or web services.
• Experience with troubleshooting, root-cause analysis, prototyping, workflow modeling, or data modeling.
US Citizenship is required due to nature of the work.
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