Sr Control Systems Engineer

Role Purpose

This role is a senior individual contributor position with a broad technical scope, focused on applying control engineering expertise together with measurement and data integration to address recurring and systemic process challenges.
The position emphasizes working beyond single-project execution. The successful candidate is expected to operate across processes or sites, combining process understanding, control fundamentals, and data-driven analysis to identify root causes and implement sustainable improvements.
This role does not carry formal people-management responsibility. Impact is achieved through hands-on technical contribution, technical ownership, and close collaboration with process, automation, and data-focused teams. The role is well suited for engineers who are technically mature, comfortable working with ambiguity, and motivated to influence how control and data are applied at a broader level within manufacturing operations.

Key Responsibilities

1. Cross-site Measurement and Data Enablement for Control Improvement
• Identify critical measurements and data signals across processes or sites that are essential for control performance and process stability.
• Work with local teams to improve measurement consistency, data quality, and accessibility, enabling meaningful cross-site comparison and analysis.
• Establish practical and reusable approaches for leveraging time-series and process data in control-related problem solving, rather than one-off analyses.

2. Control-focused, Data-driven Process Improvement
• Apply control engineering fundamentals together with integrated measurement data to diagnose recurring or systemic process issues.
• Translate data insights into actionable control strategies, logic enhancements, or system adjustments that can be adopted beyond a single project or site.
• Validate improvements through measurable performance outcomes, such as stability, variability reduction, or operational robustness.

3. Reusable Control and Data Practices
• Develop and refine reusable control and data-related practices, such as analysis methods, control patterns, or software components, that can be applied across similar processes or sites.
• Balance standardization with practical flexibility, ensuring solutions remain effective in real manufacturing environments.
• Support adoption of these practices by working directly with site engineers and incorporating feedback from actual usage.

4. Technical Ownership and Cross-functional Collaboration
• Take technical ownership of complex or ambiguous control-related problems that span multiple systems or organizational boundaries.
• Collaborate closely with process, automation, and data-focused teams to align technical solutions with operational realities.
• Contribute technical judgment during improvement initiatives by helping teams assess trade-offs, risks, and long-term implications of control and data-related decisions.

Experiences/Education - Required

• Bachelor’s degree or higher in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or other related engineering fields.
• 8+ years of experience in industrial process control or automation, with demonstrated impact beyond single-project execution.
• Strong foundation in PLC-based control systems and industrial automation environments. (Mitsubishi or Allen-Bradely is a plus)
• Hands-on programming experience in Python and/or C#, applied to engineering, control, or data-related use cases.
• Solid understanding of process control fundamentals and real-world implementation.
• Experience working with industrial measurements, time-series data, and system integration.

Experiences/Education - Desired

• Exposure to advanced control concepts (e.g., MPC, multivariable control); hands-on experience is a plus but not mandatory.
• Experience with SCADA systems, historians, or industrial data platforms.
• Familiarity with multi-site or cross-process improvement efforts.
• Background in thermal, continuous, chemical, or complex manufacturing processes.