Subject Matter Expert – Reliability

Overview

• Solution Deployment & Model Enablement

• Support end-to-end deployment and operationalization of predictive analytics and asset performance solutions across customer facilities in the Middle East region.
• Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.
• Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:
• *Asset criticality*
• *Failure modes*
• *Reliability risk profiles*
• *Maintenance strategies*
• *Operational and maintenance workflows*
• Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:
• R
• *otating equipment*
• *Static equipment*
• *Electrical systems*
• *Process systems*
• *Integrity-critical assets*
• Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.
• Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.
• Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.
• Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.
• To be eligible for this role you will require:
• Bachelor’s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.
• Minimum 12 years of reliability engineering experience within oil & gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.
• Strong experience applying:
• *RAM analysis*
• *FMEA*
• *RCA*
• *Weibull analysis*
• *Reliability-centered maintenance methodologies*
• Cross-discipline asset management experience spanning:
• *Mechanical systems*
• *Electrical systems*
• *Process systems*
• *Integrity-critical assets*
• Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.
• Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.
• Strong understanding of maintenance and reliability workflows within industrial operating environments.
• Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.
• Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.
• Middle East or GCC operating environment experience preferred.
• Please contact Nandashree KB or email your cv directly in word format to nandashree@theedgepartnership.com
• Please note that due to the high number of applications only shortlisted candidates will be contacted.
• If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.
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