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.
Key Responsibilities
- Cross-site Measurement and Data Enablement for Control Improvement
- dentify 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.
- 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.
- 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.
- 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.
