Asset Health Engineer
2 weeks ago
We are seeking a results-driven
Asset Health Engineer
to lead asset health assessments, optimize maintenance strategies, and provide engineering input into data-driven reliability initiatives.
This role combines hands-on knowledge of industrial assets with structured reliability engineering practices. You will work closely with the maintenance, operations,
data science
, and
data engineering
teams to define, analyze, and improve asset performance using both field experience and data models. The goal is to establish a sustainable, predictive approach to asset health and failure prevention.
Key Responsibilities: -
Asset Health & Reliability Strategy
- Define performance thresholds and health indicators for critical assets (rotating and static).
- Evaluate maintenance history, sensor data, and inspection reports to assess asset condition.
- Recommend improvements to asset design, maintenance practices, or operational parameters.
Reliability Engineering & Root Cause Analysis
- Conduct RCA, FMEA, and support reliability-centered maintenance (RCM) initiatives.
- Translate field observations into structured reliability actions and strategic recommendations.
- Support continuous improvement initiatives targeting MTBF, MTTR, and equipment uptime.
Data Collaboration & Model Validation
- Collaborate with data science teams to validate predictive models using engineering judgment.
- Define relevant features and data requirements based on real-world failure modes and degradation patterns.
- Work with data engineering to ensure asset structure, hierarchy, and health data are accurate and usable.
Maintenance Optimization
- Review and refine preventive and condition-based maintenance plans based on asset behavior and field feedback.
- Work with planners and supervisors to align work instructions with asset-specific needs.
- Track performance impact of strategy changes over time.
Requirements: -
- Bachelor's Degree in Mechanical, Electrical, Mechatronics, or related engineering field.
- 4–8 years of experience in asset reliability, condition monitoring, or industrial maintenance.
- Deep understanding of failure mechanisms, degradation trends, and maintenance optimization techniques.
- Hands-on experience using maintenance and reliability data from CMMS platforms (e.g., SAP PM).
- Ability to interpret sensor or operational data (e.g., vibration, thermal, runtime hours) in context.
- Excellent collaboration skills across engineering, operational, and data functions.
Preferred Certifications & Qualifications:-
- Certification in Vibration Analysis
- Certified Reliability Engineer (CRE)
– ASQ or equivalent - Certified Maintenance & Reliability Professional (CMRP)
– SMRP - Trained in RCA, RCM, FMEA methodologies
- Familiarity with ISO 55000 and asset lifecycle management
- Experience working alongside data analysts, data scientists, or IT/OT integration teams
- Prior work in pulp & paper, chemical, oil & gas, or similar process industries is a plus
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