Subject Matter Expert – Static Equipment

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.

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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.

Key Responsibilities

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 prior to failures or shutdowns.
• Collaborate with customer maintenance, inspection, operations, process, and reliability teams to plan and execute corrective and preventive activities.
• Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.
• Support Risk-Based Inspection (RBI), integrity management, and static equipment reliability improvement initiatives.
• Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and asset behaviour throughout the sustainment lifecycle.
• Act as the primary technical focal point during sustainment and managed service phases for assigned static equipment asset portfolios.
• Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.
• Track and report reliability and value realization KPIs including:
  • Deferred failures
  • Avoided shutdowns
  • Reduced maintenance costs
  • Improved equipment availability
  • Inspection optimization benefits
• Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.
• Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.
• Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.
• Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, and stakeholder engagement.

Required Qualifications

• Bachelor’s degree in Mechanical Engineering or related engineering discipline.
• Minimum 10 years of static equipment engineering experience within oil & gas, petrochemical, refining, gas processing, or industrial environments.
• Strong background in inspection engineering, maintenance engineering, or asset integrity management within operating facilities.
• Expertise in pressure vessels, heat exchangers, columns, piping systems, tanks, and associated static assets.
• Familiarity with API 510, API 570, API 579, and integrity assessment methodologies preferred.
• Strong understanding of degradation mechanisms, inspection strategies, and operational reliability practices.
• Experience interpreting operational and integrity data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.
• Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.
• Middle East or GCC operating environment experience preferred.

Preferred Certifications

• API 510 – Pressure Vessel Inspector
• API 570 – Piping Inspector
• API 579 / Fitness-for-Service exposure preferred
• RBI or integrity management certifications preferred

Preferred Industry Experience

• Oil & Gas operators in the Middle East region
• Upstream production facilities
• Offshore operations
• Gas processing plants
• Refineries and petrochemical facilities
• LNG and industrial energy operations

Key Skills & Competencies

• Static equipment integrity and reliability management
• Inspection planning and degradation assessment
• Predictive maintenance and integrity analytics
• Risk-Based Inspection (RBI)
• Failure analysis and troubleshooting
• Operational data interpretation and analytics validation
• Technical governance and stakeholder engagement
• Cross-functional collaboration and advisory capability

Services at AVEVA

Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA’s solutions. If you’re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.

Find out more: https://www.aveva.com/en/about/careers/

AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.