SME – Rotating Equipment
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Key skills for this role
About the Role
Quest Global is seeking a Rotating Equipment Subject Matter Expert to support deployment and operationalization of AVEVA predictive analytics solutions 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 across customer facilities in the Middle East region
- Provide rotating equipment engineering subject matter expertise during asset onboarding, solution configuration, and model development phases
- Support asset criticality assessments, use case definition, and identification of high value monitoring opportunities for rotating equipment
- Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go live
- Correlate predictive model outputs with operational and condition monitoring data including vibration analysis, temperature trends, lubrication analysis, etc.
- Monitor and manage predictive anomaly alerts for deployed rotating equipment assets
- Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions
- Collaborate with customer maintenance, reliability, operations, and engineering teams to plan and execute preventive and corrective activities
- Support root cause analysis (RCA), bad actor investigations, and rotating equipment reliability improvement initiatives
- Track and report reliability and value realization KPIs including MTBF, unplanned downtime reduction, deferred failures, etc.
- Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities and stakeholder engagement
Requirements
- Bachelor’s degree in Mechanical Engineering or related discipline
- Minimum 10 years of rotating equipment engineering experience in oil & gas, petrochemical, refining, or industrial environments
- Strong expertise in compressors, pumps, turbines, motors, and auxiliary systems
- Direct experience in condition monitoring, predictive maintenance, or reliability engineering programs
- Strong understanding of vibration analysis and machinery diagnostics aligned with ISO 10816, API 670, or equivalent
- Experience translating condition monitoring findings into maintenance work orders and operational recommendations
- Familiarity with industrial historians and monitoring platforms such as PI / OSIsoft or equivalent
- Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred
- Middle East or GCC operating environment experience preferred
Full Job Posting
Job Requirements
- At Quest Global, we believe in the power of doing things differently to make the impossible possible.
- We bring together technologies and industries, alongside diverse individuals, to solve problems better and faster.
Key Responsibilities Solution Deployment & Model Enablement
- Support end to end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.
- Provide rotating equipment 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 equipment operating behaviour, failure mechanisms, maintenance strategies, process conditions, operating envelopes and site conditions.
- Support asset criticality assessments, use case definition, and identification of high value monitoring opportunities for compressors, pumps, turbines, motors, fans and blowers, and auxiliary rotating systems.
- Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go live.
- Correlate predictive model outputs with operational and condition monitoring data including vibration analysis results, temperature trends, lubrication analysis, performance curves, process conditions, and historical maintenance and failure records.
- Validate model outputs against known equipment behaviour, maintenance history, and operational conditions to improve model accuracy and reliability.
- Provide engineering input to support expansion of predictive monitoring coverage to additional rotating assets and facilities.
Key Responsibilities Predictive Monitoring, Sustainment & Value Realization
- Monitor and manage predictive anomaly alerts for deployed rotating equipment assets.
- Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.
- Identify early indicators of bearing degradation, seal wear, cavitation, rotor imbalance, misalignment, lubrication issues, impeller fouling, and mechanical looseness.
- Recommend proactive maintenance and operational interventions prior to equipment failure or forced outages.
- Collaborate with customer maintenance, reliability, operations, and engineering teams to plan and execute preventive and corrective activities.
- Review, validate, and operationalize AI/analytics driven recommendations generated through deployed AVEVA solutions.
- Support root cause analysis (RCA), bad actor investigations, and rotating equipment reliability improvement initiatives.
- Ensure predictive models remain aligned with actual operating conditions, maintenance practices, and asset behaviour throughout the sustainment lifecycle.
- Act as the primary technical focal point during sustainment and managed service phases for assigned rotating equipment asset portfolios.
- Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.
- Track and report reliability and value realization KPIs including Mean Time Between Failures (MTBF), unplanned downtime reduction, deferred failures, maintenance cost optimization, and equipment availability improvements.
- Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders, asset owners, and project management teams.
Required Qualifications
- Bachelor’s degree in Mechanical Engineering or related engineering discipline.
- Minimum 10 years of rotating equipment engineering experience within oil & gas, petrochemical, refining, gas processing, or industrial environments.
- Strong expertise in compressors, pumps, turbines, motors, and associated auxiliary systems.
- Direct experience in condition monitoring, predictive maintenance, or reliability engineering programs.
- Strong understanding of vibration analysis and machinery diagnostics aligned with ISO 10816, API 670, or equivalent standards.
- Experience translating condition monitoring findings into maintenance work orders and operational recommendations.
- Familiarity with industrial historians and monitoring platforms such as PI / OSIsoft or equivalent systems.
- Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.
- Middle East or GCC operating environment experience preferred.
Preferred Certifications
- ISO Vibration Analyst Certification (CAT II / III)
- CMRP (Certified Maintenance & Reliability Professional)
- API or equivalent rotating equipment certifications preferred
Preferred Industry Experience
- Oil & Gas operators in the Middle East region
- Upstream production facilities
- Offshore operations
- Gas processing plants
- Refineries and petrochemical facilities
- LNG and industrial energy operations
Key Skills & Competencies
- Rotating equipment diagnostics and troubleshooting
- Predictive maintenance and condition monitoring
- Reliability and asset performance optimization
- Vibration analysis and machinery health assessment
- Root Cause Analysis (RCA)
- Operational data interpretation and analytics validation
- Technical governance and stakeholder engagement
- Cross functional collaboration and advisory capability
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