Job Description

• Work closely with operations and support services to understand shop-floor data needs and translate them into practical technology solutions that improve day-to-day manufacturing efficiency and effectiveness.
• Collaborate with process engineers and key users to define and maintain company-wide manufacturing assets, process-data requirements, and standard templates.
• Partner with automation and application leads to define and maintain robust data and system integration standards.
• Lead complex deployments and upgrades of our data historian and visualization stack, including AVEVA PI Data Archive, PI-AF, PI Notifications, PI Vision, PI Interfaces, and related components.
• Oversee deployment and upgrades of industrial data operations and access technologies such as Data Brokers, protocol converters, and edge solutions.
• Drive continuous improvement of the Data Enablement product’s processes, governance, and best practices.
• Provide day-to-day technical oversight and leadership for application support teams, identifying opportunities to optimize system management and supportability.
• Contribute to SDLC and computer validation practices where applicable.

• 5+ years’ experience in manufacturing or related industries; experience in life sciences strongly preferred.
• Deep, hands-on experience with AVEVA PI Systems: architecture, PI-DA, AF, Analysis, Notifications, PI Vision, DAS and PI Interfaces, and integrations with larger data platforms.
• Ability to design and explain different PI architectures (on-prem, virtualized, hybrid) and integration patterns.
• Strong understanding of Industry 4.0 technologies and ecosystems — IoT platforms (e.g., Ignition), data brokers (e.g., HiveMQ), OPC UA technologies (e.g., Kepware, Matrikon), edge gateways, and protocol converters.
• Familiarity with shop-floor data sources and control systems (DeltaV, PLC/SCADA, BAS) and common shop-floor analytics use cases.
• Good working knowledge of IT infrastructure considerations that affect data systems (networking, virtualization, storage).
• Experience with SDLC methodology and computer validation concepts.
• Self-driven with excellent leadership, communication, and stakeholder-management skills.
• Bachelor’s degree in Engineering, Computer Science, or a related discipline preferred.

• The chance to work at the intersection of manufacturing, data, and life-saving healthcare innovation.
• A collaborative, inclusive culture that values diverse perspectives and continuous learning.
• Opportunities to lead global initiatives and shape the future of industrial data platforms.
• Competitive salary, benefits, and professional development support.

Current Employees apply HERE

Current Contingent Workers apply HERE

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