Subject Matter Expert – Static Equipment

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Job Title:

Subject Matter Expert – Static Equipment (Pressure Vessels
· Heat Exchangers
· Columns
· Tanks
· Piping
· Asset Integrity)

Location:

Abu Dhabi

Employment Type:

Full Time 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. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.

This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained - converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.

The Job The Static Equipment SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region. The role combines deep static equipment and integrity engineering expertise with predictive maintenance and reliability advisory capabilities to ensure predictive models deliver measurable improvements in equipment reliability, integrity management, maintenance optimization, and operational performance.

The SME will work closely with customer operations, maintenance, reliability, inspection, and engineering teams throughout the solution lifecycle - from model development and deployment through operational monitoring, optimization, and long-term sustainment.

Solution Deployment & Model Enablement Support: end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities. Provide static equipment and integrity 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 Degradation mechanisms Process conditions Inspection strategies Failure modes and operating envelopes Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:
Pressure vessels Heat exchangers Columns Tanks Piping systems Associated static assets. Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live. Correlate predictive model outputs with operational and integrity data including:
Fouling trends Pressure drop analysis Temperature profiles Inspection findings Thickness measurements Historical maintenance and failure records. Validate model outputs against known equipment behaviour and operating conditions to improve model accuracy and reliability. Provide engineering input to support expansion of predictive monitoring coverage to additional static assets and facilities.

Predictive Monitoring, Sustainment & Value Realization:
Monitor and manage predictive anomaly alerts for deployed static equipment assets. Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions. Identify early indicators of:
Fouling Wall thinning Pressure losses Thermal degradation Integrity deterioration Process performance deviations. Recommend proactive inspection, cleaning, repair, and operational intervention strategies…