Subject Matter Expert – Process Engineering

Job Title: Subject Matter Expert Process Engineering

Location: Abu Dhabi

Employment Type: Full Time

Program 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 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.

The Process Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment and continuous value realisation 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 optimisation 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…