Subject Matter Expert – Process Engineering

**AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.** **We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.** **If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at** **AVEVA Careers****.** **For more information about our privacy policy and how to manage cookies, visit our** **Privacy Policy****.** **Job Title:** **Subject Matter Expert – Process Engineering** *(Process Optimisation · Steady-State Performance · Heat & Mass Balance)* **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 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 optimization models deliver measurable improvements in throughput, energy efficiency, process stability, production optimization, 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, optimization, and long-term sustainment. The role is responsible for translating AI-generated operational advisories and optimization insights into actionable process improvements that maximize production efficiency, reduce energy consumption, and improve plant performance. **Key Responsibilities** **Solution Deployment & Model Enablement** * Support end-to-end deployment and operationalization of AVEVA predictive analytics and process optimization 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 optimization 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 optimization 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 optimization 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 optimization coverage to additional process units and facilities. **Predictive Monitoring, Sustainment & Value Realization** * Review and manage daily process optimization 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 requirement