Asset Performance & Operational Intelligence Engineer

Intralox; Baltimore (MD); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Paid time off

401K plan

Job summary

Intralox seeks an Asset Performance & Operational Intelligence Engineer to transform conveyor system data into actionable insights that improve customer OEE and reduce downtime. You will bridge data from installed equipment with field operations to drive data-driven maintenance strategies.

Responsibilities include analyzing time-series signals, correlating failure modes, and delivering concise insight summaries to engineering teams and leadership, supporting condition-based maintenance and

Qualifications

• Bachelor's degree in Mechanical or Electrical Engineering or related field.
• 5+ years in industrial analytics, manufacturing performance, or reliability/asset performance engineering.
• Strong knowledge of conveyor systems, OEE, MTBF and downtime analysis.
• Willingness to travel up to 50%.

Responsibilities

• Own 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.
• Correlate time-series data (motor current, temperature, vibration, speed/load, faults).
• Develop repeatable pattern recognition for common failure modes across installed base.
• Provide data-driven input for inspection priorities, component replacement, and spares strategy.
• Partner with field service and maintenance teams to validate interventions and outcomes.

Skills

SQL

Time-series analysis

Python

R

Education

Bachelor's degree in Mechanical/Electrical Engineering or related field

Tools

Power BI

Tableau

Grafana

Job description

Asset Performance & Operational Intelligence Engineer

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.

Intralox is a division of Laitram, L.L.C., with an extensive portfolio of innovative conveyance solutions and services that improve lives and optimize businesses worldwide.

Our global workforce of over 3,000 employees in 20+ countries consist of reliable problem solvers, continuously developing and directly delivering solutions that have driven our customers’ growth worldwide for more than 50 years.

Intralox was founded on the principle of doing the right thing, by treating customers, employees, and suppliers with honesty, fairness, and respect. We invest heavily in these values and aim to practice our business philosophy principles every day, which is why we have been consistently recognized for innovation and workplace excellence. We believe in the power of a good idea no matter where it comes from, using trust as the foundation to how we work, and that self-managed people are our greatest asset.

We listen objectively, think creatively, and deliver results. To learn more about our company culture, philosophy, and benefits, please visit our company page.

This position is not eligible for work authorization or sponsorship.

Responsibilities

• 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):
  • Motor current, temperature, vibration
  • Conveyor speed and load variations
  • 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

• Identifying systems at risk before failures occur
• Prioritizing service interventions based on impact and risk
• Quantifying the value of recommended adjustments or upgrades

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:
  • What is happening
  • Why it is happening
  • 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:
  • Industrial systems analytics
  • Manufacturing or material handling performance analysis
  • Reliability or asset performance engineering
• Strong working knowledge of:
  • Conveyor systems and industrial automation concepts
  • OEE and related performance metrics
  • 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