SME – Process Engineering

Role Purpose

The Process Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Process Optimisation solutions deployed across customer operations in the Middle East region.

The role combines deep process engineering expertise with operational optimization and predictive analytics advisory capabilities to ensure predictive and optimisation models deliver measurable improvements in throughput, energy efficiency, process stability, production optimisation, and operational performance.

The SME will work closely with customer operations, process engineering, production, control room, reliability, and digital teams throughout the solution lifecycle – from model development and deployment through operational monitoring, optimisation, and long‑term sustainment.

The role is responsible for translating AI‑generated operational advisories and optimisation insights into actionable process improvements that maximise production efficiency, reduce energy consumption, and improve plant performance.

• 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 (UAT) activities prior to go‑live.
• Correlate predictive and optimisation model outputs with operational and process data including:
  • Process trends
  • Throughput data
  • Energy consumption
  • Product quality parameters
  • DCS/APC data
  • Historical operating records
• Validate model outputs against actual plant behaviour, process constraints, and operating conditions to improve model accuracy and reliability.
• Support model recalibration activities when process conditions change due to:
  • Well decline
  • Feed composition shifts
  • Equipment modifications
  • 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 for deployed process systems and assets.
• 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
  • Other critical process equipment
• Investigate process anomalies and inefficiencies identified by deployed AVEVA solutions and determine whether alerts represent:
  • Genuine process inefficiencies
  • Equipment performance degradation
  • Process instability
  • Model artefacts or data quality issues
• Perform root cause analysis (RCA) 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…