Subject Matter Expert – Process Engineering

Job Title

Subject Matter Expert – Process Engineering (Process Optimisation – Steady-State Performance – Heat & Mass Balance)

Abu Dhabi

Full Time

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 optimise operational performance.

This SME role ensures predictive model outputs are technically interpreted, validated, ope rationalised, and sustained – converting AI‑generated insights into measurable operational, reliability, and financial benefits across customer facilities.

• Support end‑to‑end deployment and operationalisation of AVEVA predictive analytics and process optimisation solutions across customer facilities in the Middle East region.
• Provide process 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 and optimisation models accurately reflect process operating conditions, heat‑and‑mass balance relationships, equipment performance characteristics, process constraints, operating envelopes, and plant limitations.
• Support asset criticality assessments, use‑case definition, and identification of high‑value optimisation opportunities for separators, compressors, heat exchangers, gas processing systems, NGL processing units, utility, and process systems.
• Participate in model validation, alert tuning, calibration, and user acceptance testing activities prior to go‑live.
• Correlate model outputs with operational and process data including process trends, throughput data, energy consumption, product quality parameters, DCS/APC data, and historical operating records.
• Validate model outputs against actual plant behaviour, process constraints, and operating conditions to improve model accuracy and reliability, and support model recalibration activities when process conditions change due to well decline, feed composition shifts, equipment modifications, or operational strategy changes.
• Provide engineering input to support expansion of optimisation coverage to additional process units and facilities.
• Review and manage daily process optimisation advisories and predictive alerts; assess feasibility of model‑recommended set‑point changes against current operational constraints, production targets, and safety requirements; validate optimisation recommendations for separators, compressors, heat exchangers, gas processing units, utility systems, and other critical process equipment.
• Investigate process anomalies and inefficiencies identified by deployed AVEVA solutions, determine whether alerts represent genuine process inefficiencies, equipment performance degradation, process instability, model artefacts, or data quality issues; perform root cause analysis for process deviations, optimisation gaps, and performance losses.
• Work closely with customer operations teams and control room personnel to safely implement operational advisories and optimisation recommendations; monitor implementation outcomes and provide operational feedback to analytics and model teams for continuous optimisation improvement.
• Ensure predictive and optimisation models remain aligned with actual operating conditions, process behaviour, and production strategies throughout the sustainment lifecycle.
• Act as the primary technical focal point during sustainment and managed service phases for assigned process optimisation portfolios; support continuous improvement, model refinement, and enhancement of predictive and optimisation effectiveness.
• Track and report operational and value realisation KPIs including throughput improvement, energy consumption reduction, product quality improvements, flaring reduction, process stability enhancement, and production optimisation benefits.
• Parti…