Your AI career in the UAE starts here

We’re hiring a VP of Data Engineering & Analytics to rebuild and scale a data function from the ground up within a high-growth consumer business in Dubai.This isn’t a traditional reporting or BI leadership role. Data is the core product. The business has a unique, highly valuable dataset in its industry and is looking for a leader to build a world-class data platform, actionable intelligence, and commercial growth. You’ll inherit an existing team and be responsible for scaling it, maturing the platform, improving data quality and governance, and helping the business unlock new revenue opportunities through data-driven decision makingWe’re looking for someone who combines deep technical credibility with commercial thinking. Someone who can still roll up their sleeves when needed, has built data teams from the ground up, and understands how to move from startup chaos to scalable execution.What you’ll be responsible for:Defining and executing the company’s data strategyBuilding an AI-ready, modern data platform and semantic layerEstablishing data quality, governance, observability, and trusted metricsLeading data ingestion, warehousing, and multi-tenant architecture initiativesDriving BI, analytics, forecasting, and client-facing data productsPartnering with senior leadership to identify growth opportunities and commercial insightsScaling and mentoring a high-performing data team while leveraging AI to increase productivity and impactWe’re looking for someone who has:15+ years of experience in modern data platforms, architecture, SQL, and data modellingHands-on experience with modern cloud data stacksExperience building and scaling data teams in startup environmentsData modelling, warehousing and analytics expertiseAbility to translate data into business outcomes and growth opportunitiesStrong stakeholder management and executive presenceExperience building, scaling, and leading high-performing data teamsA passion for AI-enabled data platforms and next-generation analytics capabilitiesNice to have:Predictive analytics, forecasting, churn, and LTV modelling expertiseBackground in SaaS, analytics products, or multi-tenant technology environments

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

A venture-backed company on a mission to redefine how intelligence, decision-making, and AI intersect within financial services.The business is building a next-generation platform leveraging advanced AI, probabilistic reasoning, agentic systems, and deep financial intelligence to solve some of the most complex challenges in modern markets.They are now seeking a Chief Technology Officer to become a core part of the leadership team and help architect what could become a category-defining company.As CTO, you won't inherit a mature engineering organisation. You'll help build it.You'll work directly alongside the Founder and executive team to define technology strategy, architect the platform, recruit elite talent, and turn ambitious ideas into scalable products.This role sits at the intersectionArtificial IntelligenceFinancial IntelligenceProduct InnovationPlatform ArchitectureCompany BuildingYou'll have the opportunity to shape not only the technology stack, but the future direction of the business itself.What You'll ownDefine and execute the company's technology vision and long-term architectureLead the development of advanced AI-driven products and platformsBuild and scale engineering, AI, and data teamsDrive innovation across agentic AI, reasoning systems, LLMs, knowledge architectures, and intelligent decision-support systemsPartner closely with founders, investors, and strategic stakeholdersEstablish engineering culture, technical standards, and delivery excellenceTranslate cutting-edge research into commercially valuable productsServe as a key voice in shaping company strategy, growth, and market positioning.We're looking for a builder first and a CTO second.The ideal candidate will likely possess.Deep expertise in AI, Machine Learning, Computer Science, Quantitative Research, or a related discipline.Advanced academic credentials (PhD or Master's preferred).Experience architecting complex technology platforms from the ground up.Strong background in financial services, capital markets, investment platforms, banking, or quantitative environments.Proven track record of scaling products, platforms, and engineering organisations.Ability to move seamlessly between strategy, architecture, product, and execution.Exceptional communication skills and executive presence.This role is designed for someone who.Has high urgency and take ownership.Thinks like a FounderIs intellectually curious and obsessed with learning.Loves solving difficult technical problems.Moves quickly without waiting for perfect information.Wants to build something meaningful rather than manage something established.Why this Role ?Build a company, not just a platform.Work on bleeding-edge AI challenges.Direct access to founders and investors.Significant influence over company strategy.Opportunity to create a globally recognised technology business from the ground floor.Join at a pivotal stage where your impact will be visibleevery day.

We’re Hiring: AI Engineer | UAE NWe are looking for a passionate and hands-on AI Engineer to join our growing team and help build cutting-edge AI-powered solutions.About the RoleAs an AI Engineer, you will be responsible for designing, building, and deploying AI-driven features and applications using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on developing real-world AI products, not research or model training.What You’ll DoDevelop and deploy AI-powered applications from prototype to productionIntegrate LLMs (GPT, Claude) into business solutions using APIsDesign prompts, workflows, and AI agents to improve output qualityWork with Azure AI Foundry and modern AI platformsContinuously evaluate and adopt new AI tools and technologiesCollaborate with product, design, and engineering teamsWhat We’re Looking ForDegree in Computer Science, AI, or related fieldStrong Python and software engineering skillsExperience working with APIs and LLM integrationsHands-on experience with GPT, Claude, or similar modelsFamiliarity with tools like Git and modern AI frameworksAbility to work in a fast-paced, evolving environmentNice to HaveExperience with LangChain, LlamaIndex, or similar frameworksKnowledge of RAG, vector databases, or Azure AI toolsExposure to open-source LLMs (Hugging Face, Ollama)

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.Perform statistical analysis and data exploration to extract meaningful insights from complex datasetsSupport the development and validation of predictive models to identify trends and patternsContribute to the development of AI/ML models and data-driven solutionsConduct exploratory data analysis to support decision-making and operational planningAssist in building and maintaining data pipelines for data collection, processing, and integrationCollaborate with data scientists, engineers, and cross-functional teams to improve data workflowsDevelop scripts and tools to automate repetitive tasks and improve efficiencySupport initiatives to enhance data quality, structure, and accessibilityApply basic experimental and analytical approaches to test ideas and evaluate outcomesContribute to improving data systems, workflows, and analytical capabilitiesAssist in identifying data gaps, inconsistencies, and opportunities for optimizationParticipate in team meetings, project discussions, and knowledge-sharing sessionsEducationBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.Required SkillsProficiency in Python, R, SQL, or similar programming languages.Experience with data visualization platforms such as Power BI or Tableau.Strong understanding of statistical techniques and modeling approaches.Foundational knowledge of AI/ML concepts and applications.Experience working with relational and/or NoSQL databases.Familiarity with cloud-based big data technologies.Ability to explain complex technical findings to non-technical audiences.Understanding of intelligence analysis processes and mission requirements.Experience working with structured and unstructured datasets in complex environments.ExperienceMinimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.Role OverviewThe Head of AI, Data & Governance will lead MultiBank Group's enterprise-wide Artificial Intelligence, Data Management, Data Governance, and Analytics strategy. This strategic leadership role is responsible for establishing a modern data-driven organization, driving AI adoption across business functions, and ensuring the organization's data assets are governed, secure, reliable, and leveraged effectively to support business growth, operational excellence, risk management, and regulatory compliance.The successful candidate will oversee AI initiatives, enterprise data governance, data architecture, analytics, information management, and data quality programs while leading multidisciplinary teams across Data Engineering, Data Science, Analytics, and Governance. This role will serve as a key advisor to executive leadership, ensuring that data and AI capabilities become core enablers of innovation, decision-making, and competitive advantage.Key ResponsibilitiesAI Strategy & LeadershipDefine and execute the Group-wide AI strategy aligned with business objectives and long-term technology vision.Lead the development and deployment of AI, Machine Learning, Generative AI, predictive analytics, and intelligent automation solutions across business functions.Establish enterprise AI governance frameworks, model monitoring standards, explainability practices, and responsible AI policies.Identify opportunities where AI and advanced analytics can improve client experience, operational efficiency, risk management, compliance monitoring, and revenue growth.Evaluate emerging AI technologies, platforms, and tools to maintain competitive advantage within the financial services industry.Drive adoption of AI-powered solutions across business, operational, and technology teams.Data Strategy & ManagementDefine and execute the enterprise data strategy, ensuring alignment with business objectives and regulatory requirements.Establish data as a strategic organizational asset by promoting data-driven decision-making across all business functions.Oversee enterprise data architecture, data platforms, data integration, and data lifecycle management.Develop scalable frameworks for managing structured, semi-structured, and unstructured data across the organization.Drive enterprise-wide data accessibility, discoverability, and self-service analytics capabilities.Data Governance & ComplianceEstablish and maintain enterprise-wide data governance frameworks, policies, standards, and controls.Define data ownership, stewardship, quality management, classification, retention, lineage, and access management practices.Lead data quality initiatives to improve consistency, reliability, accuracy, and completeness of enterprise data.Ensure compliance with regulatory, privacy, security, and information governance requirements across all jurisdictions.Develop governance frameworks for AI models, training data, model risk management, and responsible AI deployment.Partner with Compliance, Risk, Security, and Legal teams to ensure data and AI initiatives meet internal and external regulatory requirements.Analytics & Business IntelligenceEstablish enterprise-wide KPI frameworks, performance measurement standards, and executive reporting capabilities.Drive advanced analytics initiatives that support commercial, operational, risk, compliance, and customer-focused functions.Enable business stakeholders with actionable insights through dashboards, reporting platforms, and self-service analytics solutions.Promote data literacy and analytical capabilities across leadership and operational teams.Ensure analytics outputs are aligned with strategic business objectives and measurable outcomes.Data Platform & Architecture OversightOversee modern data platforms, warehouses, lakes, and cloud-based analytics environments.Ensure scalability, performance, security, and resilience of enterprise data infrastructure.Define standards for data modeling, metadata management, master data management, and enterprise architecture.Drive modernization initiatives across the data ecosystem to support future AI and analytics capabilities.Leadership & Stakeholder ManagementBuild, mentor, and scale high-performing teams across AI, Data Engineering, Analytics, Business Intelligence, and Governance functions.Partner with executive leadership to align AI and data initiatives with corporate strategy and business priorities.Establish governance councils, steering committees, and operating models to support enterprise data and AI initiatives.Present strategic roadmaps, governance metrics, AI adoption progress, and data maturity assessments to senior leadership.Foster a culture of innovation, accountability, data ownership, and evidence-based decision-making.Qualifications & RequirementsBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, Mathematics, Statistics, or a related field.12+ years of experience across Data, Analytics, AI, Information Management, or Governance disciplines, with at least 5 years in a senior leadership role.Proven experience developing and executing enterprise AI and data strategies within large-scale organizations.Strong experience establishing and managing enterprise data governance frameworks and operating models.Deep understanding of data quality, metadata management, data lineage, master data management, and information governance principles.Experience leading enterprise-wide data transformation and modernization initiatives.Strong expertise in AI, Machine Learning, Generative AI, and advanced analytics methodologies.Experience working with cloud-based data and analytics platforms such as AWS, Azure, Google Cloud, Snowflake, Databricks, or equivalent technologies.Strong understanding of data privacy, security, regulatory compliance, and governance requirements within highly regulated industries.Experience building and leading multidisciplinary teams across AI, Data Science, Data Engineering, Analytics, and Governance functions.Strong understanding of financial services, brokerage, capital markets, trading platforms, CFDs, Forex, Cryptocurrency, or related industries is highly desirable.Preferred ProfileExperience implementing enterprise-scale Generative AI, Large Language Models (LLMs), AI assistants, and intelligent automation solutions.Strong understanding of AI governance, model risk management, and responsible AI frameworks.Experience establishing Data Governance Councils, Data Stewardship Programs, and Data Quality Frameworks.Familiarity with MLOps, model lifecycle management, and production AI deployment practices.Proven track record of driving enterprise data culture transformation and increasing organizational data maturity.Experience operating within global and highly regulated financial environments.Exceptional leadership, stakeholder management, communication, and strategic planning skills.Passion for leveraging AI, data, and governance to drive innovation, operational excellence, and business performance.Why Join Us?Work with an industry-leading global financial institution.Competitive salary and comprehensive employee benefits.Opportunities for professional growth and career advancement.Collaborative, inclusive, and dynamic work environment.Commitment to innovation and professional excellence.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.