Subject Matter Expert – Reliability Engineering

Overview

Privacy Policy

RAM Analysis

• FMEA

Programme Context

The Job

Solution Deployment & Model Enablement

• Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.
• Provide reliability 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:
• + Asset criticality
• + Failure modes
• + Reliability risk profiles
• + Maintenance strategies
• + Operational and maintenance workflows
• Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:
• + Rotating equipment
• + Static equipment
• + Electrical systems
• + Process systems
• + Integrity-critical assets
• Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.
• Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.
• Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.
• Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.

Predictive Monitoring, Sustainment & Value Realization

• Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.
• Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.
• Consolidate and report realized operational value including:
• + Downtime avoided
• + Maintenance cost savings
• + Production uplift
• + Energy efficiency improvements
• + Reduced equipment failures
• + Improved equipment availability
• Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.
• Apply reliability engineering methodologies including:
• + Reliability Availability Maintainability (RAM) analysis
• + Failure Modes and Effects Analysis (FMEA)

+ Root Cause Analysis (RCA)

• + Weibull analysis
• + Reliability-centered maintenance (RCM) principles
• Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.
• Develop and maintain performance dashboards and governance metrics tracking:
• + Alert accuracy
• + False positive rates
• + Missed detections
• + Advisory adoption rates
• + Operational response effectiveness
• + Reliability KPI improvements
• Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.
• Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.
• Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.
• Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.
• Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.
• Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.
• Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.
• Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.
• Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, reliability reviews, bad actor investigations, technical assessments, governance discussions, and stakeholder engagement.

Required Qualifications

• Bachelor’s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.
• Minimum 12 years of reliability engineering experience within oil & gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.
• Strong experience applying:
• + RAM analysis
• + FMEA
• + RCA
• + Weibull analysis
• + Reliability-centered maintenance methodologies
• Cross-discipline asset management experience spanning:
• + Mechanical systems
• + Electrical systems
• + Process systems
• + Integrity-critical assets
• Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.
• Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.
• Strong understanding of maintenance and reliability workflows within industrial operating environments.
• Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, 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

• Certified Reliability Engineer (CRE) preferred
• CMRP (Certified Maintenance & Reliability Professional) advantageous
• Reliability-centered maintenance or asset management certifications preferred

Key Skills & Competencies

• Reliability engineering and asset performance management
• RAM, FMEA, RCA, and Weibull analysis
• Predictive maintenance and bad actor management
• Reliability KPI governance and value realization tracking
• Operational workflow optimization
• Cross-functional technical leadership
• Operational data interpretation and analytics validation
• Technical governance and stakeholder engagement
• Cross-disciplinary 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.