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RE/MAX Smart Concept

Job description:Job description:Job Title: AI Automation Engineer - Real Estate Experience Location: Abu Dhabi, UAE Job Type: Full-Time | Office-Based Company: RE/MAX Smart Concept Real EstateAbout the PositionRE/MAX Smart Concept Real Estate is seeking a highly capable AI Automation Engineer to build and maintain automation workflows across our CRM and internal operational systems.This role is hands-on and execution focused, responsible for developing reliable automation systems, implementing API integrations, and ensuring long-term system stability.We are looking for a professional who can design and manage automation infrastructure that operates consistently, efficiently, and without disruption.Real Estate Industry Experience &ndash; Highly PreferredCandidates with experience working within real estate technology environments will be given priority, especially those familiar with:<ul><li>Real estate brokerage systems</li><li>Property management platforms</li><li>CRM environments used in real estate companies</li><li>Lead routing and distribution systems</li><li>Property listing integrations</li><li>Portal connectivity and data synchronization</li></ul>Understanding agent workflows, listing distribution, and real estate lead management will be considered a strong advantage.Key Responsibilities<ul><li>Design and implement automation workflows using Make, Zapier, or n8n</li><li>Integrate CRM systems using API-based read and write operations</li><li>Connect automation workflows with platforms such as:</li><li>Slack</li><li>Email systems</li><li>WhatsApp Business API</li><li>Implement structured logging, monitoring, retry mechanisms, and error handling</li><li>Test, document, and maintain automation systems</li><li>Ensure reliability, performance, and long-term operational stability</li><li>Maintain ownership of automation infrastructure and integrations</li></ul>Required Qualifications<ul><li>Strong hands-on experience with Make, Zapier, or n8n</li><li>Proven experience integrating CRM platforms through APIs (Bitrix24 or similar systems preferred)</li><li>Experience integrating Slack, Email services, and WhatsApp Business API</li><li>Solid understanding of:</li><li>REST APIs</li><li>Webhooks</li><li>Automation logic (Trigger &rarr; Action)</li><li>Data flow architecture</li><li>Error handling and retry strategies</li></ul>Important Notes<ul><li>This role focuses strictly on automation engineering and system execution</li><li>The position does not involve AI model training or LLM research</li><li>No responsibilities related to CRM redesign or consulting</li><li>Long-term ownership of automation systems is expected</li><li>We are looking for candidates with production-level experience and a strong focus on system reliability</li></ul>Employment DetailsEmployment Type: Full-Time Location: Abu Dhabi, UAE (Office-Based) Department: Technology / SystemsThis position offers long-term responsibility for automation infrastructure within a growing real estate organization.Application ProcessInterested candidates should submit their CV along with a short summary including:<ul><li>Examples of automation systems built in production</li><li>CRM platforms integrated</li><li>Tools and technologies used</li><li>Experience working with real estate companies (if applicable)</li></ul>Job Type: Full-timeExperience:<ul><li>Real Estate : 1 year (Required)</li></ul>Work Location: In person

AI Automation

Inception

<div>
 
 Overview
 
 
 
 As a QA Lead at Inception, you will be responsible for defining and overseeing the quality assurance strategy for complex financial-domain applications. You will lead both manual and automated testing practices, ensuring that all AI-enabled and enterprise platforms adhere to stringent quality, reliability, and compliance standards.
 
 
 The Opportunity
 
 
 In this role, you will combine financial-domain expertise with advanced testing methodologies to implement robust, scalable quality engineering practices. You will drive end-to-end validation across applied AI and enterprise systems, ensuring platform readiness for production and long-term stability.
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Responsibilities
 
 
 
 Lead QA teams responsible for manual and automated testing across financial applications and AI-driven platforms.
 
 
 <ul>
 <li>
 Define test strategies, governance frameworks, and quality standards aligned with business and regulatory requirements.
 </li>
 <li>
 Oversee test planning, test-case design, automation development, and regression execution.
 </li>
 <li>
 Implement automation frameworks supporting UI, API, and data validation.
 </li>
 <li>
 Collaborate with engineering, product, and architecture teams to ensure testability at all stages of the SDLC.
 </li>
 <li>
 Integrate continuous testing practices within CI/CD pipelines.
 </li>
 <li>
 Track quality metrics, defect patterns, and coverage statistics to ensure delivery readiness.
 </li>
 <li>
 Ensure compliance with financial regulations, security requirements, and audit standards.
 </li>
 <li>
 Mentor QA engineers and advance best practices in test automation and domain-specific validation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify for the role, you must have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 7+ years of QA experience with proven leadership in financial or enterprise environments.
 </li>
 <li>
 Strong background in manual and automated testing methodologies.
 </li>
 <li>
 Experience developing automation frameworks and validating regulated financial workflows.
 </li>
 <li>
 Familiarity with agile delivery processes and CI/CD tooling.
 </li>
 <li>
 Strong analytical and communication skills.
 
 
 </li>
 </ul>
 Technical Exposure
 
 
 <ul>
 <li>
 Automation Frameworks: Selenium, Playwright, Cypress, RestAssured
 </li>
 <li>
 Languages: Python, C#, TypeScript
 </li>
 <li>
 CI/CD: Azure DevOps, GitHub Actions
 </li>
 <li>
 Cloud (Azure): App Services, Functions, AKS
 </li>
 <li>
 Data: SQL, Data Factory
 </li>
 <li>
 Domain: Financial systems, compliance, reporting
 
 
 </li>
 </ul>
 What we look for
 
 
 <ul>
 <li>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 </li>
 </ul>
 What working at Inception offers
 
 
 <ul>
 <li>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 </li>
 <li>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 </li>
 <li>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 </li>
 </ul>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Engineer - ML QA

Presight

<div>
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing applied AI to the private and public sectors, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 Position Overview
 
 
 
 We are looking for a passionate Software QA Engineer with strong experience in both manual and automation testing. The role requires at least 5 years of QA experience, including 3+ years in automation. Experience in data testing and validation is a must.
 
 
 You will work closely with developers and product managers to test new features, maintain automated test suites, perform manual testing, validate data, track defects, and improve QA processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop, execute, and maintain test documentation.
 </li>
 <li>
 Perform functional and non-functional testing.
 </li>
 <li>
 Identify, document, and track bugs using a defect-tracking system (e.g., Jira).
 </li>
 <li>
 Participate in release validation and ensure product quality at every stage of development.
 </li>
 <li>
 Assist in building and improving QA processes and workflows.
 </li>
 <li>
 Create and maintain automated tests for UI, API, or backend systems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Artificial Intelligence, Computer Science, Business Analytics, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Strong understanding of QA methodologies, theory, test design techniques, and SDLC/STLC.
 </li>
 <li>
 Experience with testing web applications.
 </li>
 <li>
 Deep understanding of test documentation and solid experience in creating detailed test plans, test suites, test scenarios, and test reports.
 </li>
 <li>
 Proficient with bug-tracking and test management tools (e.g., Jira, TestRail, Zephyr) and experienced in structuring high-quality reporting.
 </li>
 <li>
 Strong experience with API testing using tools such as Postman, Swagger, or cURL, including designing and automating API test coverage.
 </li>
 <li>
 Confident SQL skills for data validation, backend testing, and supporting automated test workflows.
 </li>
 <li>
 Experience with automation frameworks such as Selenium, Playwright, Cypress, or similar.
 </li>
 <li>
 Advanced programming skills in languages like JavaScript, Python, or TypeScript.
 </li>
 <li>
 Understanding of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
 </li>
 <li>
 Proven experience designing and building automation frameworks from scratch, including setting up new environments, creating reusable test scripts, and automating test runs.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Good communication skills and ability to work in a cross-functional team as well as on your own.
 </li>
 <li>
 Proactive attitude toward quality and problem solving.
 </li>
 <li>
 Attention to detail and strong analytical thinking.
 </li>
 <li>
 Ability to prioritize tasks and manage time effectively.
 </li>
 </ul>
</div>

Engineer - Quality Assurance

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

Siemens

<div><div>Job Title: Marketing Operations &amp; Data Specialist</div> 
<div></div>
<div>You'll make a difference by:</div>
<ul><li>Architecting Intelligent Workflows: Designing and managing end-to-end automation using Microsoft Power Automate, n8n, and RPA platforms like UiPath to streamline global marketing operations.</li>
<li>Turning Data into Strategy: Integrating Snowflake and Power BI to engineer data pipelines and create high-impact visualizations that drive campaign decisions.</li>
<li>Scaling Content with AI: Leading the charge on generative AI integration to revolutionize how the team creates, distributes, and localizes content across global channels.</li>
<li>Bridging Global Gaps: Collaborating with international teams to identify process pain points, establishing best-practice frameworks, and centralizing media assets with consistent metadata.</li>
<li>Ensuring Technical Integrity: Building scalable, secure integrations via APIs and Python/JavaScript scripting while maintaining rigorous cybersecurity and version control standards.</li>
<li>Optimizing the User Experience: Analyzing campaign effectiveness through custom dashboards and refined UI/UX interfaces to present clear insights to stakeholders.</li></ul> 
<div>
</div><div>Your defining qualities:</div>
<ul><li>Proven Track Record: You bring 2&ndash;5 years of professional experience in marketing operations, data science, or a highly technical marketing role.</li>
<li>A Technical Polymath: You have a solid background in Data Science, CS, or Marketing Informatics, with deep expertise in at least one core area (Automation, AI, or Data Management).</li>
<li>A MarTech Architect: You have hands-on experience building complex workflows and integrating third-party tools into a cohesive marketing tech stack.</li>
<li>A Data Fluent Strategist: You are proficient in ETL processes and modern data environments like Snowflake, with the ability to translate &quot;big data&quot; into &quot;big ideas.&quot;</li>
<li>An AI Pioneer: You stay ahead of the curve with AI/ML models, generative AI, and prompt engineering to keep the business at the cutting edge.</li>
<li>A Cross-Functional Communicator: You can translate complex technical concepts for non-technical stakeholders and thrive in multicultural, global environments.</li>
<li>A Creative Problem-Solver: You are a solutions-oriented thinker who isn&rsquo;t afraid to challenge conventional methods and propose innovative improvements.</li></ul><div> 
This is what happens after you apply:</div>
<div>1. CV Screening</div>
<div>2. Talk with our recruiter to get to know your motivation &amp; your experience</div>
<div>3. 2-3 Business Interviews</div>
<div>4. Offer</div> 
<div></div>
<div>Transform the everyday with us.</div>
<div>We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.</div> 
<div></div>
<div>Public Notice: Recruitment Fraud</div>
<div>We wish to caution jobseekers that Siemens, as a policy, does not authorize external parties/agents to conduct employment drives or extend Offers of Employment on our behalf. We do not ask for bank details, payment of any kind nor personal financial information in return for assurance of employment. Please visit our job portal for all Siemens job openings, and apply via the portal.</div></div>

Marketing Operations & Data Specialist

Acenet consulting

<div><div>Experience: 12 to 18 years
 
Location: Abu Dhabi
 
Job code: 101483
 
Posted on: Apr 17, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary: 
We are seeking a highly skilled and experienced Azure Technical Architect with hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures. This role involves working closely with cross-functional teams to deliver scalable, secure, and high-performance cloud solutions that align with business objectives.
<div>Key Responsibilities: 
<ul><li>Design, implement, and maintain end-to-end Azure solutions across various Azure services.</li><li>Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.</li><li>Analyze performance metrics across compute, storage, network, and application layers &amp; Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.</li><li>Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.</li><li>Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.</li><li>Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.</li><li>Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, rearchitect (to microservices), or rebuild.</li><li>Act as a technical advisor to internal stakeholders and external and partner stakeholders.</li><li>Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.</li><li>Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.</li><li>Provide architectural governance and ensure compliance with best practices, standards, and security policies.</li><li>Produce high-quality documentation, architecture diagrams, and solution blueprints.</li><li>Guide and mentor technical teams and conduct architectural reviews.</li><li>Stay current on the latest developments in Azure services and AI technologies.</li></ul></div>
<div>Role Requirements and Qualification: 
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or related field.</li><li>Overall Experience 12+ Years, Relevant Experience 6+ Years in Azure Cloud and 2+ years&rsquo; experience in AI.</li><li>Microsoft Certified: Azure Solutions Architect Expert certification (required).</li><li>Core Azure Infrastructure: Azure Virtual Machines, Azure Virtual Desktop, Azure Virtual Network (VNet), Azure Application Gateway, Azure VPN Gateway, Azure ExpressRoute, Virtual WAN, Network Security Groups (NSGs), Azure Firewall, Private Endpoints, Private DNS.</li><li>Load Balancing Solution: Azure Load Balancer, Azure Application Gateway, Azure Frontdoor, WAF, Citrix NetScaler</li><li>Azure Storage Solutions: Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Storage Accounts.</li><li>Azure Compute &amp; App Services: Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Instances, Azure Service Fabric, API Management, Logic App, SQLMI, SQL Instance.</li><li>Monitoring &amp; Management: Azure Monitor, Azure Dashboards, Azure Workbooks, Log Analytics, Azure Automation, Azure Resource Manager (ARM), Azure Advisor, Cost Management &amp; Budgets, Management Groups &amp; Subscriptions.</li><li>Identity &amp; Access Management: Azure Active Directory (AAD), Azure Key Vault, Role-Based Access Control (RBAC), PIM, Azure Conditional Access</li><li>Security And Governance: Microsoft Defender for Cloud, Sentinel, Well-Architected Framework (WAF), Azure Policy.</li><li>Backup Solution: Azure Backup, Snapshot, Veeam Backup</li><li>Data Security &amp; Encryption: Azure Disk Encryption &amp; Azure Storage Service Encryption, Transparent Data Encryption (TDE) for Azure SQL.</li><li>Automation: Terraform, Bicep, Azure PowerShell &amp; CLI.</li></ul>
:DevOps &amp; CI/CD: Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts, Azure DevTest Labs, Azure SDKs, Azure App Configuration, Azure Lab Services 
<ul><li>AI &amp; Machine Learning (Basic to Advanced Knowledge Required): Azure Machine Learning, Azure AI Bot Service, Azure Cognitive Services, Azure Databricks, Azure AI Search, Azure OpenAI, Azure Form Recognizer, Azure Immersive Reader, Azure Personalizer, Azure Video Indexer, Azure Metrics Advisor, Azure Custom Vision, Azure Translator, Azure Speech Services, Azure Content Safety, Azure Document Intelligence, Azure Foundry Models, Azure Health Bot, Azure Kinect DK, Azure Face API, Azure QnA Maker, Azure Language Understanding (LUIS), Azure Text Analytics, Azure Text to Speech, Azure Speaker Recognition, Azure Microsoft Genomics, Azure Project Bonsai.</li><li>Strong understanding of cloud architecture, networking, security, and automation.</li><li>Demonstrated experience with AI/ML solutions and integrations.</li><li>Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.</li><li>Strong problem-solving skills and ability to work independently and as part of a team.</li><li>Preferred Soft Skills:</li><li>Ability to collaborate across multiple business units and technical teams.</li><li>Strong presentation and documentation skills.</li><li>Experience working in multi-cloud or hybrid cloud environments.</li><li>High level of curiosity and adaptability to new technologies.</li><li>Expert Industry: Financial Services, IT Services, Cloud Consulting, etc.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Azure Cloud AI Technical Architect

Emirates Investment Authority

<div>Purpose 
The Total Rewards Manager is responsible for designing, optimizing, and governing the organization&rsquo;s Compensation, Benefits, and Reward frameworks to ensure competitiveness, internal equity, and alignment with the organization&rsquo;s strategic, financial, and Emiratization objectives.
The role plays a central part in supporting EIA&rsquo;s ability to attract, motivate, and retain top investment and corporate talent by developing market-responsive, performance-linked, and data-driven Total Rewards programs.
Operating in a sovereign wealth fund environment, the role also leads the integration of AI-enabled analytics, digital reward systems, automation, and predictive workforce cost modelling to enhance decision-making, compliance, and operational accuracy.
Strategic Responsibilities<ul><li> 
Design and implement a holistic Total Rewards Strategy covering compensation, benefits, recognition, allowances, performance-linked pay, and long-term incentives (where applicable).</li><li>Lead market intelligence and benchmarking exercises to ensure reward competitiveness for investment, specialist, and corporate roles.</li><li>Embed AI-driven insights, predictive analytics, and digital dashboards into reward governance, enabling proactive decision-making on workforce costs, equity risks, and talent retention.</li><li>Support financial planning, workforce modeling, and organizational design decisions by providing compensation implications, forecasts, and scenario analysis.</li><li>Ensure reward frameworks support Emiratization, mobility, internal progression, and leadership development pathways.</li><li>Maintain strong governance, documentation, and compliance across all reward programs in alignment with regulatory requirements and Board-approved policies.</li></ul> 
Core Responsibilities
 1. Compensation Structure &amp; Pay Governance<ul><li>Maintain and enhance salary structures, job grading systems, career levels, and compensation architecture across all functions.</li><li>Conduct job evaluations using methodologies such as Hay, Mercer, and Willis Towers Watson to ensure internal equity and role clarity.</li><li>Keep pay structures aligned with market trends, organizational priorities, and external competitiveness.</li><li>Ensure accurate and timely delivery of annual compensation cycles, including merit, promotions, off-cycle requests, and salary adjustments.</li></ul>
2. Performance-Linked Rewards &amp; Incentives<ul><li>Manage the execution of the annual bonus and incentive processes, ensuring data accuracy, compliance, and alignment with performance outcomes.</li><li>Provide modelling and analytical support on short-term incentives (STI) and long-term incentive (LTI) structures, including deferral implications and risk alignment.</li><li>Partner with Talent Management to integrate performance ratings, KPIs, and competency outcomes into reward decisions.</li></ul>
3. Benefits &amp; Allowances Management<ul><li>Oversee benefits programs including medical, life insurance, education allowances, pension (GPSSA/alternative plans), end-of-service benefits, and employee wellness offerings.</li><li>Manage vendor relationships, RFPs, contract renewals, service level agreements, and cost control measures.</li><li>Evaluate and enhance benefits offerings using employee utilization data, benchmarking insights, and satisfaction feedback.</li></ul>
4. HRIS, Digital Rewards &amp; AI Integration<ul><li>Lead digital transformation of Total Rewards processes by optimizing HRIS, payroll integrations, and compensation planning tools.</li><li>Develop dashboards using Power BI/Tableau for compensation analytics, workforce cost forecasting, attrition risk modelling, and pay equity monitoring.</li><li>Support the design and maintenance of AI-enabled HR chatbots that provide employees with automated responses to reward-related queries.</li><li>Ensure data governance, privacy compliance, and process automation across reward workflows.</li></ul>
5. Workforce Costing &amp; Reporting<ul><li>Partner with Finance to monitor and forecast workforce budgets, headcount costs, and reward spend.</li><li>Prepare Board- and Executive-level reporting on compensation trends, regulatory updates, and market outlooks.</li><li>Provide insights on pay competitiveness, turnover risk associated with pay, and cost modeling for organizational changes.</li></ul>
6. Compliance, Audit, &amp; Policy Management<ul><li>Ensure compliance with UAE labor law, regulatory requirements, GPSSA, tax obligations (if applicable), and internal governance frameworks.</li><li>Maintain all reward-related policies, ensuring clarity, transparency, and alignment with organizational risk appetite.</li><li>Lead internal and external audit processes for compensation and benefits, ensuring timely closure of findings.</li></ul>
People &amp; Leadership Responsibilities<ul><li> 
Provide leadership and guidance to the Total Rewards team to ensure effective execution of all reward initiatives.</li><li>Partner with HR Business Partners to support business units in addressing compensation and benefits matters.</li><li>Build awareness among line managers and employees on reward principles, policies, and practices.</li><li>Foster a culture of accountability, fairness, and recognition within the organization.</li></ul> 
Requirements 
 
Education &amp; Qualifications<ul><li> 
Bachelor&rsquo;s degree in Human Resources, Business Administration, Finance, or a related field.</li><li>Professional certifications such as CIPD, WorldatWork (CCP/CBP), or equivalent are preferred.</li></ul>
Experience Requirements<ul><li> 
10&ndash;12 years of progressive experience in Compensation, Benefits, or Total Rewards, including 3&ndash;5 years in a managerial or leadership role.</li><li>Experience in a sovereign wealth fund, asset management firm, investment bank, or large government-linked organization preferred.</li><li>Expertise in compensation design, salary benchmarking, job evaluation frameworks, and performance-linked reward programs.</li><li>Demonstrated experience integrating analytics, HRIS, automation, or AI-driven rewards systems.</li><li>Strong knowledge of UAE labor law, GPSSA requirements, compliance, and regulatory compensation standards.</li></ul>
 Technical Expertise / Skills / Knowledge<ul><li> 
Advanced analytical, modeling, and forecasting capability; expert-level Excel, Power BI, and HR analytics tools.</li><li>Strong understanding of pay structures, incentive design, job evaluation, and compensation governance.</li><li>HRIS proficiency (Workday, SAP, Oracle, or equivalent).</li><li>Familiarity with AI tools, automated workflows, and chatbot development for HR services.</li><li>High accuracy and integrity when working with confidential data.</li><li>Excellent communication, stakeholder management, and reporting skills.</li></ul></div>

Total Rewards Manager

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