Subject Matter Expert Reliability Engineering
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Key skills for this role
About the Role
AVEVA is seeking a Subject Matter Expert in Reliability Engineering to lead deployment and sustainment of predictive analytics and asset performance solutions for oil & gas customers in the Middle East.
Key Skills for This Role
Responsibilities
- Support end to end deployment and operationalization of AVEVA predictive analytics and asset performance solutions
- Provide reliability engineering subject matter expertise during asset onboarding and model development
- Lead the reliability governance and value realization framework for deployed solutions
- Own and maintain programme benefits realization tracking across all engineering disciplines
- Lead bad actor analysis and coordinate cross functional investigations
- Apply reliability engineering methodologies including RAM, FMEA, RCA, Weibull analysis, and RCM
- Develop and maintain performance dashboards and governance metrics
Requirements
- Bachelor's degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline
- Minimum 12 years of reliability engineering experience in oil & gas, petrochemical, refining, or heavy industrial environments
- Strong experience applying RAM analysis, FMEA, RCA, Weibull analysis, and reliability centered maintenance
- Cross discipline asset management experience spanning mechanical, electrical, process, and integrity critical assets
- Experience owning programme KPI governance, reliability reporting, and value realization tracking
Full Job Posting
Programme Context
- AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil & Gas, Energy, and Industrial operators throughout the Middle East region.
- This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained.
Key Responsibilities
- Support end to end deployment and operationalization of AVEVA 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, and reliability risk profiles.
- Support asset criticality assessments, use case definition, and prioritization of high value reliability monitoring opportunities.
- 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, and failure records.
- Support development of reliability governance frameworks, KPI structures, and value realization methodologies.
- Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage.
- Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.
- Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.
- Consolidate and report realized operational value including downtime avoided, maintenance cost savings, production uplift, and energy efficiency improvements.
- Lead bad actor analysis informed by predictive model outputs and coordinate cross functional investigations.
Required Qualifications
- 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, and reliability centered maintenance methodologies.
- Cross discipline asset management experience spanning mechanical, electrical, process, and 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.
Key Skills & Competencies
- Reliability engineering and asset performance management
- RAM, FMEA, RCA, and Weibull analysis
- Predictive maintenance and bad actor management
- Reliability KPI governance and value realization tracking
- Operational workflow optimization
- Cross functional technical leadership
- Operational data interpretation and analytics validation
- Technical governance and stakeholder engagement
- Cross disciplinary collaboration and advisory capability
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