The Senior I&C Reliability Analyst is responsible for leading predictive maintenance programs and reliability initiatives related to instrumentation and control systems across critical assets. This role leverages condition monitoring data, statistical analysis, and industry best practices to optimize equipment performance, reduce unplanned downtime, and improve asset lifecycle cost-effectiveness.
Program Leadership:
Lead the design, implementation, and continuous improvement of predictive maintenance strategies for I&C systems across facilities.
Advanced Diagnostics & Analytics:
Analyze complex datasets from sensors, control systems, and historian tools (e.g., OSIsoft PI) to detect early-stage failure patterns and performance degradation.
Reliability Improvement Initiatives:
Drive Root Cause Analysis (RCA), Failure Modes and Effects Analysis (FMEA), and Reliability-Centered Maintenance (RCM) programs for instrumentation systems.
Cross-Functional Collaboration:
Coordinate with operations, maintenance, engineering, and OEM vendors to implement corrective actions and design improvements.
Technology Integration:
Oversee deployment and integration of smart field devices, IIoT solutions, and diagnostic tools (e.g., Emerson AMS, Fieldvue, PRM, Fluke, etc.).
Mentoring & Knowledge Transfer:
Train and mentor junior analysts and technicians on predictive maintenance concepts, software use, and field data interpretation.
Asset Criticality Assessment:
Conduct and update asset criticality rankings to prioritize monitoring efforts and maintenance planning.
KPI & Performance Reporting:
Develop and track key reliability metrics (e.g., MTBF, P-F intervals, failure rates) and report findings to management for strategic planning.
Compliance & Documentation:
Ensure all predictive maintenance activities align with company policies, industry standards (e.g., ISA, IEC), and regulatory requirements.
Predictive Analytics and Decision Support:
Use advanced tools to convert raw sensor data into actionable reliability insights, optimizing maintenance intervals and reducing failures.
Smart Instrument Diagnostics:
Leverage built-in diagnostics from smart field devices and control systems to preemptively address issues.
Lifecycle Reliability Engineering:
Influence design, procurement, and commissioning decisions by integrating reliability insights early in the asset lifecycle.
Data-Driven Maintenance Optimization:
Integrate predictive data with CMMS and ERP systems for condition-based maintenance scheduling and parts forecasting.
Continuous Improvement Culture:
Champion a reliability-focused culture across departments by using data to demonstrate the value of proactive maintenance.
Bachelor’s or Master’s degree in Instrumentation, Electrical, Electronics, or Mechatronics Engineering.
5+ years of experience in I&C reliability, predictive maintenance, or control system diagnostics in industrial environments.
Deep knowledge of condition monitoring technologies (e.g., vibration, thermography, loop diagnostics, corrosion monitoring).
Proficient with reliability analysis tools, asset management software, and predictive maintenance platforms.
Certified Maintenance & Reliability Professional (CMRP) or similar credential is preferred.
Excellent analytical, leadership, and cross-functional communication skills.
Experience in regulated industries (e.g., oil & gas, chemical, utilities, pharmaceutical) is highly desirable.