Job Description (General Summary)
The Asset Performance & Operational Intelligence Engineer is responsible for transforming operational data from installed conveyor systems into actionable insights that improve customer OEE, reduce unplanned downtime, and inform maintenance and upgrade strategies throughout the equipment lifecycle.
This role serves as the analytical intelligence hub within Life Cycle Services-bridging system data, real-world operating conditions, and field execution. The position goes beyond reporting and dashboards, focusing on correlating system behavior to failure modes, identifying leading indicators of performance degradation, and driving data-backed corrective and preventive actions in the field.
This position is not eligible for work authorization or sponsorship.
Job Responsibilities and Requirements
Responsibilities:
Operational Performance & OEE Intelligence
• Own the interpretation and breakdown of OEE metrics for installed conveyor systems
• Analyze Availability, Performance, and Quality losses at system, subsystem, and zone levels
• Identify and prioritize chronic vs acute performance loss drivers
• Validate that measured OEE reflects true operational behavior and customer reality
Failure Mode & Trend Analysis
• Correlate time-series data including (but not limited to):
o Motor current, temperature, vibration
o Conveyor speed and load variations
o Accumulation logic states
o Fault, alarm, and recovery behavior
• Identify leading indicators of failures and performance degradation
• Develop repeatable pattern recognition for common failure modes across the installed base
Maintenance & Reliability Enablement
• Translate data trends into actionable maintenance recommendations
• Support the shift from time-based to condition-based maintenance strategies
• Provide data-driven input for inspection priorities, component replacement, and spares strategy
• Partner with field service and maintenance teams to validate interventions and outcomes
Life Cycle Services Optimization
• Support LCS executions by:
o Identifying systems at risk before failures occur
o Prioritizing service interventions based on impact and risk
o Quantifying the value of recommended adjustments or upgrades
• Enable proactive customer engagement using performance insights
Data Quality & System Feedback
• Identify data quality gaps, noisy signals, or incorrect system configurations
• Work with product controls engineering and integration engineering to improve data reliability at the source
• Provide structured feedback to engineering teams to improve future system designs and standards
Insight Communication & Action Ownership
• Produce clear, concise insight summaries-not just dashboards-focused on:
o What is happening
o Why it is happening
o What should be done next
• Present findings to LCS leadership, engineering teams, and customer-facing stakeholders
• Track outcomes of recommendations and validate performance improvements
Required Qualifications:
Experience & Knowledge
• Bachelor's degree in Mechanical Engineering, Electrical Engineering, or other related field.
• 5+ years experience in one or more of the following:
o Industrial systems analytics
o Manufacturing or material handling performance analysis
o Reliability or asset performance engineering
• Strong working knowledge of:
o Conveyor systems and industrial automation concepts
o OEE and related performance metrics
o Maintenance and reliability principles (MTBF, downtime analysis, failure modes)
• Travel up to 50%
Technical Skills
• Strong SQL skills and experience working with time-series data
• Proficiency in at least one analytical language or tool (Python, R, or equivalent)
• Experience with data visualization platforms (Power BI, Tableau, Grafana, etc.)
• Ability to interpret PLC-derived signals and system states (no programming required, but fluency in meaning is essential)
Soft Skills & Working Style
• Strong systems-thinking and problem decomposition skills
• Comfortable working across engineering, maintenance, service, and customer-facing teams
• Able to translate technical analysis into clear operational recommendations
• Hands-on mindset-willing to engage with field teams and real-world system behavior
• Curious, structured, and outcome-oriented
Preferred Qualifications:
• Experience in material handling, logistics automation, or manufacturing systems
• Exposure to CMMS or EAM platforms
• Understanding of condition monitoring techniques
• Ability to interpret PLC programming (LD,FB,SFC,ST).
• Experience supporting installed equipment across multiple customer sites
• Familiarity with service-based or aftermarket business models
Intralox's benefit program is a major part of an employee's total compensation from the company. Hired applicants may be eligible for benefits including health, dental, vision, and disability insurance, paid time off, 401K, flexible spending account, life and AD&D insurance, long term care, tuition reimbursement, and additional voluntary benefits.
The salary range provided is a good faith estimate representative of all experience levels. Intralox considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training and key skills. Therefore, we encourage all qualified applicants to apply regardless of their salary expectations.
The position is eligible for one of the following: commissions, discretionary incentives, or production incentives according to the terms of those plans
Salary Range $78,000 to $194,600
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