Operations Process Automation Engineer II

Job Responsibilities/Results

• Partner with Operations, Quality, Manufacturing Engineering, Supply Chain, and R&D teams to identify workflow inefficiencies, manual handoffs, data-entry burdens, and process bottlenecks.
• Analyze current business processes and develop future-state solutions that improve efficiency, quality, traceability, and operational effectiveness.
• Define business requirements and translate operational needs into practical automation and digital solution designs.
• Design, develop, configure, and support operational tools, including workflow trackers, exception management queues, validation utilities, reporting dashboards, intake forms, approval workflows, and traceability solutions.
• Integrate data across enterprise systems using approved technologies such as Apis, SQL, SharePoint, Power Platform, Axure services, Python, and other supported platforms.
• Leverage approved AI-assisted capabilities to enhance process analysis, document interpretation, workflow guidance, information retrieval, summarization, and decision support in compliance with company policies.
• Build and maintain data preparation, transformation, validation, and monitoring processes to ensure the accuracy, integrity, and reliability of reporting and automation outputs.
• Evaluate solutions for usability, performance, scalability, maintainability, security, and accuracy prior to deployment.
• Monitor and troubleshoot automated processes to maintain operational effectiveness and system performance.
• Document process documentation, user guides, training materials, support plans, and change-control records to promote successful adoption and long-term sustainability of solutions.
• Provide end-user training and ongoing support to ensure effective utilization of implemented tools and processes.
• Measure and report the effectiveness of automation and process-improvement initiatives through key operational metrics.
• Track and communicate benefits including cycle-time reduction, error reduction, improved first-pass yield, reduced rework, enhanced traceability, and increased visibility into operational performance and status.

Governance, Compliance & Cross-Functional Collaboration

• Collaborate with IT, Data Security, and Quality stakeholders to ensure solutions align with enterprise architecture, data governance standards, validation requirements, and regulated process expectations.
• Support adherence to company policies, quality system requirements, and industry regulations throughout the design and implementation lifecycle.
• Participate in change management activities, including solution reviews, testing, validation, and deployment planning.