Process Development Engineer III, Operational Technology (OT) Data

Responsibilities

• Provide technical leadership for OT data platforms by defining architecture principles, reference designs, and best practices that improve reliability, availability, and usability for manufacturing process development teams.
• Ensure OT data availability, integrity, quality, security and accessibility by establishing and enforcing standards, controls, and audits that reduce incidents and outages.
• Coach and mentor distributed data managers and junior engineers; set technical direction, review designs, and drive consistent execution against objectives and key results (OKRs).
• Partner with lab specialists and IT to integrate process control and data acquisition systems into a unified architecture to advance data analytics capabilities and digital maturity.
• Lead IT/OT convergence initiatives to align cybersecurity posture, compliance requirements, and network segmentation.
• Communicate progress and decisions to stakeholders and leadership—create clear technical narratives, roadmaps, and status updates that enable informed decisions.

Requirements

• BS in Computer Science, Information Systems, Biomedical/Chemical/Electrical Engineering, or related field with 10+ years of proven experience, or MS with 7+ years or a PhD with 0-3 years.
• Preferably, with 5+ years with AVEVA PI System (Data Archive, Asset Framework) and Ignition SCADA, including high-availability design, data modeling, and integrations.
• Demonstrated proficiency in design, deployment, and lifecycle management of OT data systems across high-availability industrial architectures.
• Familiarity with control systems architecture, industry standards and communication protocols (ISA-95, S88, OPC, MQTT).
• A working knowledge of continuous and batch manufacturing processes, associated data sources, software integration, consumption and data analytics tools and a foundational knowledge of lab-based automation software (e.g. Unicorn, Biobrain Supervise, FactoryTalk, Empower).
• Growing proficiency in Python for automation, data pipelines, and tooling.

Qualifications

• Knowledge of Industry 4.0, digitalization, and IT systems that drive IT/OT convergence.

Skills

• Data management solutions that increase asset value.
• High-availability design, data modeling, and integrations.
• Control systems architecture, industry standards and communication protocols (ISA-95, S88, OPC, MQTT).
• Continuous and batch manufacturing processes, associated data sources, software integration, consumption and data analytics tools.
• Lab-based automation software (e.g. Unicorn, Biobrain Supervise, FactoryTalk, Empower).
• Python for automation, data pipelines, and tooling.
• Industry 4.0, digitalization, and IT systems that drive IT/OT convergence.

Benefits

Does not specify.

Pay

$109,900.00 - $179,300.00 annually

Schedule

Does not specify.