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ai deployment lead - financial services Jobs in Abu Dhabi

ai deployment lead - financial services

analyst - systems administration (core42) Jobs in Abu Dhabi

business analyst data analytics

Damen

<div>We offer you an Ocean of Possibilities . Join our family.
Position Title: Business Analyst
Department: Data &amp; Analytics/ Shared Services/ Financial Group Control
Location: Damen Shared Services, Abu Dhabi
Reports To: Manager Data Analytics
Employment Type: Full-Time
JOB PURPOSE
As a Business Analyst at Damen, you play a key role in understanding business needs and translating them into actionable data and reporting solutions. You act as a bridge between business stakeholders and data/IT teams, ensuring that requirements are clearly defined, challenged where needed, and converted into meaningful dashboards, KPIs, and insights that support decision-making.
This role requires strong business understanding, stakeholder engagement, excellent communication skills and the ability to translate operational needs into structured BI solutions, with a focus on driving data-driven decision-making across the organization.
About the Organization
You will join an international organization where data and analytics are increasingly central to decision-making. The organization is actively professionalizing its data and BI landscape, with teams operating across multiple international locations.
A central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development. Key focus areas include strengthening data governance, standardizing reports, and KPI definitions, and developing organization-wide dashboards.
Over the coming years, the data and BI domain will continue to expand, with the objective of embedding data-driven working practices across the organization.
KEY RESPONSIBILITIES
Business Understanding &amp; Stakeholder Engagement:
<ul><li>Develop strong understanding of business operations and processes
</li><li>Act as trusted advisor to stakeholders (Finance, Operations, Projects)
</li><li>Proactively challenge business requirements and assumptions to ensure clarity and feasibility
</li><li>Familiar with the agile way of working
</li><li>Facilitate workshops to define KPIs and reporting needs
</li></ul>Requirements Translation &amp; Solution Design:
<ul><li>Translate business needs into functional requirements and user stories
</li><li>Align business expectations with data models, dashboards, and reporting solutions
</li><li>Act as the bridge between business and technical/data teams
</li></ul>BI &amp; Reporting:
<ul><li>Support development of Power BI dashboards and reporting solutions
</li><li>Define and standardize KPIs and reporting frameworks
</li><li>Ensure outputs are business-relevant, actionable, and aligned with decision-making needs
</li></ul>Data Governance &amp; KPI Standardization:
<ul><li>Drive consistency in KPI definitions and reporting structures
</li><li>Support data governance initiatives and best practices
</li></ul>Stakeholder Enablement:
<ul><li>Support stakeholders in interpreting dashboards and insights
</li><li>Provide guidance and training on data-driven decision-making
</li></ul>KEY ACCOUNTABILITIES
<ul><li>Clear translation of business needs into (BI) solutions
</li><li>Adoption of standardized KPI frameworks
</li><li>Delivery of business-relevant dashboards and insights
</li><li>Strong alignment between business stakeholders and data/IT teams
</li><li>Improved data-driven decision-making across the organization
</li></ul>QUALIFICATIONS
Education:
<ul><li>Bachelor&rsquo;s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field
</li></ul>Experience:
<ul><li>5&ndash;8 years in Business Analysis or BI/reporting roles
</li><li>Strong stakeholder management and requirement gathering experience
</li><li>Proven experience translating business needs into data and BI solutions
</li><li>Mandatory experience in a project-based, engineering, manufacturing, or industrial environment
</li><li>Exposure to finance, business control, or operations domains is required
</li></ul>Business Knowledge:
<ul><li>Strong understanding of project-based environments and operations
</li><li>Experience working with finance, business control, or operational teams
</li><li>Ability to connect business processes with data and reporting solutions
</li></ul>Technical Skills:
<ul><li>Power BI (incl. Star Schema or similar relations)
</li><li>ERP systems (SAP, IFS, Dynamics)
</li><li>Understanding of data modelling concepts
</li></ul>Soft Skills:
<ul><li>Strong communication and stakeholder engagement
</li><li>Ability to challenge requirements constructively
</li><li>Ability to translate between business and technical teams
</li><li>Proactive, structured, and solution-oriented mindset
</li><li>Professional proficiency in English, both written and spoken.</li></ul></div>

Business Analyst – Data & Analytics

Roland Berger

<div>Company Description 
Roland Berger, founded in 1967, is the only leading consultancy with German heritage and European origin. By joining Roland Berger, you choose an employer who has supported diversity of cultures, mentalities, and perspectives since its founding. We believe that great ideas and new perspectives are inspired by diverse teams from a variety of backgrounds. That's why we want you to be authentic, be yourself. Be the Original You. 
Job Description 
We are seeking a detail-oriented and analytical Business Analyst to join our dynamic team in Abu Dhabi, United Arab Emirates. As a Business Analyst, you will play a crucial role in helping our organization make data-driven decisions and improve business processes.<ul><li>
Collaborate with stakeholders to identify business needs and gather requirements</li><li>
Analyze complex data sets and prepare comprehensive reports to support strategic decision-making</li><li>
Develop and maintain financial models and forecasts</li><li>
Conduct market research and competitive analysis to identify business opportunities</li><li>
Create and present business cases for new initiatives or process improvements</li><li>
Facilitate workshops and meetings to elicit information from various departments</li><li>
Design and document business processes using appropriate modeling techniques</li><li>
Support the implementation of new systems and processes</li><li>
Monitor and report on key performance indicators (KPIs)</li><li>
Provide analytical support for due diligence activities and strategic planning</li></ul> 

Qualifications 
<ul><li>
Bachelor's degree in Business Administration, Finance, Economics, or a related field</li><li>
Proven experience as a Business Analyst in a consulting environment</li><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Excellent communication skills, both written and verbal</li><li>
Proficiency in data analysis tools such as Excel, SQL, and Tableau</li><li>
Knowledge of business process modeling techniques</li><li>
Familiarity with project management methodologies</li><li>
Ability to work collaboratively in a diverse team environment</li><li>
Customer-focused mindset with a goal-oriented approach</li><li>
Excellent research and information-gathering skills</li><li>
Fluency in English; Arabic is a plus</li><li>
Adaptability to work in a fast-paced, international business environment</li><li>
Emirati nationals ONLY.</li></ul> 

Additional Information 
What will you get?<ul><li>
An exciting international environment of projects, customers and consultants</li><li>
Extensive training opportunities in data analytics and data engineering.</li><li>
Competitive salary</li></ul></div>

Business Analyst - Emiratization

Dicetek LLC

<div>
 We are looking for a detail-oriented and analytical Business Analyst with strong expertise in data modelling tools such as Erwin, ER Studio, and equivalent platforms. The ideal candidate will bridge business requirements and technical solutions by translating complex data needs into structured models, ensuring data accuracy, consistency, and quality across systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Gather, analyze, and document business requirements from stakeholders.
 </li>
 <li>
 Translate business needs into logical and physical data models.
 </li>
 <li>
 Design and maintain data models using Erwin, ER Studio, or similar tools.
 </li>
 <li>
 Collaborate with data architects, developers, and business teams to ensure alignment.
 </li>
 <li>
 Perform data analysis, data mapping, and data lineage documentation.
 </li>
 <li>
 Ensure data integrity, normalization, and standardization across systems.
 </li>
 <li>
 Support data governance and data quality initiatives.
 </li>
 <li>
 Create and maintain data dictionaries, ER diagrams, and metadata repositories.
 </li>
 <li>
 Identify process improvement opportunities and recommend data-driven solutions.
 </li>
 <li>
 Assist in UAT (User Acceptance Testing) and validate data-related requirements.
 </li>
 <li>
 Provide insights through reporting and data analysis to support decision-making.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Business Administration, or a related field.
 </li>
 <li>
 3&ndash;8 years of experience as a Business Analyst, preferably in data-centric roles.
 
 
 </li>
 </ul>
 
 Hands-on Experience With
 
 
 
 <ul>
 <li>
 Erwin Data Modeler
 </li>
 <li>
 ER Studio
 </li>
 <li>
 Other data modelling tools (e.g., PowerDesigner, Oracle SQL Developer Data Modeler)
 
 
 </li>
 </ul>
 
 Strong Understanding Of
 
 
 
 <ul>
 <li>
 Data Modelling (conceptual, logical, physical)
 </li>
 <li>
 Database design principles
 </li>
 <li>
 ER diagrams and normalization techniques
 </li>
 <li>
 Proficiency in SQL for data analysis.
 </li>
 <li>
 Experience in data mapping, ETL processes, and metadata management.
 </li>
 <li>
 Familiarity with data governance frameworks and data quality tools.
 </li>
 </ul>
</div>

Business Analyst- Data Modelling & Architecture

Etihad Airways

<div>Job Description 
Etihad Airways is seeking a high-potential UAE National to join our Corporate Finance team in a unique role that combines secured and unsecured financing, artificial intelligence, data-driven decision making, and emerging technologies.
This is not a traditional corporate finance opportunity.
For the right candidate, Etihad is willing to invest in developing traditional corporate finance and treasury knowledge, provided you bring strong analytical capability, intellectual curiosity, and a passion for emerging technologies.
We are looking for ambitious individuals who are passionate about AI, automation, analytics, digital transformation, and the future of work. Whether your background is in technology, AI, data science, analytics, innovation, engineering, digital transformation, or a related field, we are interested in candidates who can help shape the future of finance through the intelligent use of technology.
Working directly with senior leaders across Treasury, Finance, Strategy, and Technology, you will play a highly visible role supporting Etihad&rsquo;s Journey 2030 transformation agenda. This position offers exceptional exposure to executive stakeholders and provides a clear pathway toward future leadership opportunities.
Accountabilities
Strategic Finance &amp; Business Transformation<ul><li>
Support strategic projects across Corporate Finance and Financial Risk Management functions.</li><li>
Assist with financial modelling, business case development, scenario analysis, and strategic planning initiatives.</li><li>
Contribute to funding, financing, and capital allocation projects while developing expertise in aviation finance and treasury management.</li><li>
Support senior leadership with insights, presentations, and analysis to enable informed business decisions.</li></ul>
AI, Analytics &amp; Innovation<ul><li>
Identify opportunities to leverage AI, machine learning, automation, and advanced analytics across Corporate Finance and Risk Management activities.</li><li>
Support the development of intelligent reporting, forecasting, scenario modelling, and decision-support tools.</li><li>
Evaluate emerging technologies and industry trends that can improve efficiency, insight generation, and financial decision making.</li><li>
Act as a champion for innovation and continuous improvement within the Corporate Finance function.</li></ul>
Stakeholder Engagement<ul><li>
Collaborate with senior stakeholders across Finance, Technology, Data &amp; Analytics, FP&amp;A and Strategy teams.</li><li>
Build strong working relationships across the business while developing a broad understanding of airline operations and financial performance.</li><li>
Present findings, recommendations, and innovative solutions to senior leadership audiences.</li></ul>
Leadership Development<ul><li>
Participate in strategic initiatives with significant exposure to executive leadership.</li><li>
Contribute to the development of future-focused finance capabilities within the organization.</li><li>
Develop the skills, knowledge, and experience required for future leadership opportunities within Finance and the wider business.</li></ul> 

Qualifications 
Education &amp; Experience
Required<ul><li>
UAE National with Family Book.</li><li>
Bachelor&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, Engineering, Analytics, Mathematics, Business Analytics, Finance, Economics, Technology Management, or a related discipline.</li><li>
Demonstrated interest in AI, emerging technologies, automation, analytics, or digital transformation.</li><li>
Strong analytical and problem-solving capability.</li><li>
Excellent communication and stakeholder engagement skills.</li><li>
Intellectual curiosity and willingness to continuously learn.</li></ul>
Preferred<ul><li>
Formal qualifications, certifications, or postgraduate studies in Artificial Intelligence, Machine Learning, Data Science, Business Analytics, Digital Transformation, or related fields.</li><li>
MBA from a leading institution.</li><li>
Experience using AI tools, automation platforms, advanced analytics solutions, or emerging technologies in a professional environment.</li><li>
Exposure to financial services, corporate finance, consulting, technology, analytics, or innovation-focused roles.</li></ul> 

Additional Information<div></div> 
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
To learn more visit www.etihad.com
Recruitment Fraud Alert 
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</div>

Manager Corporate Finance & AI Innovation (UAE National Applications Only)

Abu Dhabi Department of Economic Development

<div>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and develop BI reports, dashboards, and visualizations.
 </li>
 <li>
 Build and optimize data models for analytics and reporting.
 </li>
 <li>
 Write and optimize complex SQL queries.
 </li>
 <li>
 Ensure data accuracy, consistency, and performance of BI solutions.
 </li>
 <li>
 Work closely with business stakeholders to gather and translate requirements.
 </li>
 <li>
 Design and develop BI reports, dashboards, and visualizations.
 </li>
 <li>
 Build and optimize data models for analytics and reporting.
 </li>
 <li>
 Write and optimize complex SQL queries.
 </li>
 <li>
 Ensure data accuracy, consistency, and performance of BI solutions.
 </li>
 <li>
 Work closely with business stakeholders to gather and translate requirements.
 </li>
 </ul>
 
 
 
 
 
 
 Qualification:
 
 
 <ul>
 <li>
 Bachelor's Degree or equivalent experience in Computer Science, Technology, or a related field of study
 </li>
 </ul>
 
 
 
 
 
 .
 
 Experienc
 
 
 <ul>
 <li>
 e:2 - 4 years of proven experience in the same fiel
 </li>
 <li>
 d.Strong analytical, problem-solving, and decision-making skill
 </li>
 </ul>
 
 
 
 s.
</div>

BI Developer (Emiratization)

AVEVA

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;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.<div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Reliability Engineering (RAM Analysis &middot; FMEA &middot; Bad Actor Management &middot; Programme KPI Governance)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div>
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; 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 &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Reliability Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, governance, 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 reliability engineering expertise with predictive maintenance, asset performance management, and operational governance capabilities to ensure deployed predictive solutions deliver sustained reliability improvements, maintenance optimization, operational efficiency, and measurable business value.
The SME will act as the integrator across multiple engineering disciplines &mdash; including rotating, static, electrical, process, and integrity domains &mdash; ensuring predictive insights translate into effective operational actions, reliability improvements, and quantified programme outcomes.
The role is responsible for establishing and governing the reliability and value realization framework for deployed predictive solutions, ensuring operational adoption, KPI tracking, continuous improvement, and long-term sustainment across customer facilities.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Asset criticality</li><li>
Failure modes</li><li>
Reliability risk profiles</li><li>
Maintenance strategies</li><li>
Operational and maintenance workflows</li></ul></li><li>
Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:<ul><li>
Rotating equipment</li><li>
Static equipment</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.</li><li>
Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.</li><li>
Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.</li><li>
Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.</li><li>
Consolidate and report realized operational value including:<ul><li>
Downtime avoided</li><li>
Maintenance cost savings</li><li>
Production uplift</li><li>
Energy efficiency improvements</li><li>
Reduced equipment failures</li><li>
Improved equipment availability</li></ul></li><li>
Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.</li><li>
Apply reliability engineering methodologies including:<ul><li>
Reliability Availability Maintainability (RAM) analysis</li><li>
Failure Modes and Effects Analysis (FMEA)</li><li>
Root Cause Analysis (RCA)</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance (RCM) principles</li></ul></li><li>
Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.</li><li>
Develop and maintain performance dashboards and governance metrics tracking:<ul><li>
Alert accuracy</li><li>
False positive rates</li><li>
Missed detections</li><li>
Advisory adoption rates</li><li>
Operational response effectiveness</li><li>
Reliability KPI improvements</li></ul></li><li>
Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.</li><li>
Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.</li><li>
Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.</li><li>
Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.</li><li>
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.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.</li><li>
Minimum 12 years of reliability engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.</li><li>
Strong experience applying:<ul><li>
RAM analysis</li><li>
FMEA</li><li>
RCA</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance methodologies</li></ul></li><li>
Cross-discipline asset management experience spanning:<ul><li>
Mechanical systems</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.</li><li>
Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.</li><li>
Strong understanding of maintenance and reliability workflows within industrial operating environments.</li><li>
Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
Certified Reliability Engineer (CRE) preferred</li><li>
CMRP (Certified Maintenance &amp; Reliability Professional) advantageous</li><li>
Reliability-centered maintenance or asset management certifications preferred</li></ul><div></div>
Key Skills &amp; Competencies<ul><li>
Reliability engineering and asset performance management</li><li>
RAM, FMEA, RCA, and Weibull analysis</li><li>
Predictive maintenance and bad actor management</li><li>
Reliability KPI governance and value realization tracking</li><li>
Operational workflow optimization</li><li>
Cross-functional technical leadership</li><li>
Operational data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-disciplinary collaboration and advisory capability</li></ul>
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&rsquo;s solutions. If you&rsquo;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.</div>

Subject Matter Expert – Reliability Engineering

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;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 &ndash; Process Engineering
(Process Optimisation &middot; Steady-State Performance &middot; Heat &amp; Mass Balance)
Location: Abu Dhabi
Employment Type: Full Time
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; 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 &mdash; 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 &mdash; 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 &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and process optimization solutions across customer facilities in the Middle East region.</li><li>
Provide process engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive and optimization models accurately reflect:<ul><li>
Process operating conditions</li><li>
Heat and mass balance relationships</li><li>
Equipment performance characteristics</li><li>
Process constraints</li><li>
Operating envelopes and plant limitations</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value optimization opportunities for:<ul><li>
Separators</li><li>
Compressors</li><li>
Heat exchangers</li><li>
Gas processing systems</li><li>
NGL processing units</li><li>
Utility and process systems</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive and optimization model outputs with operational and process data including:<ul><li>
Process trends</li><li>
Throughput data</li><li>
Energy consumption</li><li>
Product quality parameters</li><li>
DCS/APC data</li><li>
Historical operating records</li></ul></li><li>
Validate model outputs against actual plant behaviour, process constraints, and operating conditions to improve model accuracy and reliability.</li><li>
Support model recalibration activities when process conditions change due to:<ul><li>
Well decline</li><li>
Feed composition shifts</li><li>
Equipment modifications</li><li>
Operational strategy changes</li></ul></li><li>
Provide engineering input to support expansion of optimization coverage to additional process units and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Review and manage daily process optimization advisories and predictive alerts for deployed process systems and assets.</li><li>
Assess feasibility of model-recommended set-point changes against current operational constraints, production targets, and safety requirements.</li><li>
Validate optimization recommendations for:<ul><li>
Separators</li><li>
Compressors</li><li>
Heat exchangers</li><li>
Gas processing units</li><li>
Utility systems</li><li>
Other critical process equipment</li></ul></li><li>
Investigate process anomalies and inefficiencies identified by deployed AVEVA solutions and determine whether alerts represent:<ul><li>
Genuine process inefficiencies</li><li>
Equipment performance degradation</li><li>
Process instability</li><li>
Model artefacts or data quality issues</li></ul></li><li>
Perform root cause analysis (RCA) for process deviations, optimization gaps, and performance losses.</li><li>
Work closely with customer operations teams and control room personnel to safely implement operational advisories and optimization recommendations.</li><li>
Monitor implementation outcomes and provide operational feedback to analytics and model teams for continuous optimization improvement.</li><li>
Ensure predictive and optimization models remain aligned with actual operating conditions, process behaviour, and production strategies throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned process optimization portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive and optimization effectiveness.</li><li>
Track and report operational and value realization KPIs including:<ul><li>
Throughput improvement</li><li>
Energy consumption reduction</li><li>
Product quality improvements</li><li>
Flaring reduction</li><li>
Process stability enhancement</li><li>
Production optimization benefits</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and optimization solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, control rooms, and industrial sites to support deployment activities, process assessments, optimization reviews, advisory validation, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Chemical Engineering or related engineering discipline.</li><li>
Minimum 10 years of process engineering experience within oil &amp; gas upstream, gas processing, refining, petrochemical, or industrial process environments.</li><li>
Direct experience with:<ul><li>
Separation systems</li><li>
Gas compression systems</li><li>
NGL processing units</li><li>
Process optimization and operational troubleshooting</li></ul></li><li>
Strong understanding of:<ul><li>
Heat and mass balance principles</li><li>
Process performance analysis</li><li>
Production optimization</li><li>
Process constraints and operating envelopes</li></ul></li><li>
Familiarity with process simulation tools such as:<ul><li>
Aspen HYSYS</li><li>
Pro/II</li><li>
Equivalent process simulation platforms</li></ul></li><li>
Experience translating optimization model outputs into operational guidance for plant operations and control room teams.</li><li>
Familiarity with DCS, APC, or real-time optimization environments preferred.</li><li>
Experience interpreting operational data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital optimization solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
Process optimization or APC-related certifications advantageous</li><li>
Energy management or operational excellence certifications preferred</li></ul>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Process optimization and troubleshooting</li><li>
Heat and mass balance analysis</li><li>
Production and energy efficiency optimization</li><li>
Process simulation and modelling</li><li>
Operational advisory validation</li><li>
Root Cause Analysis (RCA)</li><li>
Process data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
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&rsquo;s solutions. If you&rsquo;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.</div>

Subject Matter Expert – Process Engineering

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