Your AI career in the UAE starts here

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.

About the CompanyCNTXT AI is a UAE-based Data and AI company helping organizations become AI-ready through sovereign, end-to-end solutions built in the region and designed to scale globally. We provide secure data services, custom AI solutions, and industry-specific applications that simplify AI adoption and enable seamless deployment. Our expertise spans the full AI lifecycle — from data advisory, labeling, and annotation to advanced machine learning, multimodal AI systems, and intelligent applications. With Arabic-first, domain-specific innovation, CNTXT AI delivers practical AI solutions that help enterprises and governments reduce costs, accelerate growth, and maintain full control over their data. As CNTXT AI continues its rapid growth across AI infrastructure, data services, robotics, voice AI, and enterprise AI applications, we are looking for an exceptional Chief of Staff to help drive strategic execution and organizational scale.About the RoleThe Chief of Staff serves as a strategic advisor, operator, and execution partner to the CEO. This role is responsible for ensuring the successful execution of CNTXT AI strategic priorities while improving organizational alignment, operational efficiency, and decision-making. The ideal candidate combines the analytical rigor of a consultant, the operational excellence of a business operator, and the execution capabilities of a startup leader. You will work directly with the CEO and executive leadership team to drive company-wide initiatives, establish operational discipline, and accelerate growth. This is not an administrative role. It is a high-impact leadership position designed for someone who can operate across strategy, operations, finance, partnerships, product, AI, and organizational development.Responsibilities Executive Partner to the CEOServe as a trusted advisor and thought partner to the CEO.Support strategic decision-making through research, analysis, and recommendations.Act as an extension of the CEO across critical initiatives.Ensure key priorities receive appropriate focus and execution.Prepare executive briefings, leadership communications, board materials, and investor presentations.Help drive accountability across the leadership team. Corporate Strategy & Business PlanningPartner with leadership to define company strategy and long-term growth plans.Lead annual operating planning and quarterly business reviews.Develop and manage company-wide OKRs and performance frameworks.Monitor strategic initiatives and ensure progress against goals.Conduct market research, competitive intelligence, and industry analysis.Evaluate expansion opportunities, partnerships, acquisitions, and new business initiatives. Strategic Program ManagementLead cross-functional strategic initiatives from concept through execution.Coordinate projects involving:AI ProductsData OperationsRoboticsVoice AIEnterprise SolutionsGrowth & MarketingEstablish governance frameworks for major company initiatives.Identify risks, dependencies, and mitigation plans.Ensure projects are delivered on time and aligned with strategic objectives. Business Operations & Organizational ExcellenceDesign and improve company-wide operating systems and business processes.Drive operational excellence across departments.Implement scalable management frameworks to support growth.Develop executive dashboards and reporting mechanisms.Identify bottlenecks and operational inefficiencies.Improve cross-functional collaboration and communication. Executive Reporting & AnalyticsBuild executive-level reporting systems across:RevenueProductGrowthOperationsTalentAnalyze performance metrics and provide actionable recommendations.Develop board-ready reports and presentations.Ensure leadership has visibility into company performance and risks. Organizational Development & Leadership EnablementSupport organizational design and workforce planning.Work with leadership on:Organizational structureLeadership effectivenessSuccession planningPerformance managementFacilitate leadership meetings and strategic workshops.Drive initiatives that improve alignment, accountability, and execution. Partnerships, Investors & External StakeholdersSupport strategic partnerships and business development initiatives.Assist with investor relations and fundraising activities.Prepare materials for investors, partners, and government stakeholders.Represent the Executive Office in meetings and engagements when required. Special ProjectsLead high-priority CEO-sponsored initiatives such as:Market expansion strategiesNew product launchesM&A evaluationsOrganizational transformation projectsStrategic partnershipsAI ecosystem initiativesGovernment and enterprise opportunitiesQualifications8–15 years of experience in:Management ConsultingStrategyBusiness OperationsCorporate DevelopmentProgram ManagementChief of Staff rolesExperience working directly with C-level executives, founders, or boards.Strong understanding of business operations and organizational scaling.Demonstrated ability to manage highly complex cross-functional initiatives.

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.Job PurposeWe are seeking a highly skilled AI/ML Engineer with expertise in Data Science to design, implement, and deliver advanced AI-driven solutions for the Oil & Gas and Petrochemical industries. The ideal candidate will possess strong technical skills in Python, machine learning, and data analytics, combined with the ability to collaborate with cross-functional teams and engage with customers to solve complex business challenges. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit / Solution Division in developing a differentiation in a high-growth competitive environment in Yokogawa Middle East & Africa region.Key Responsibilities & AccountabilitiesImplement AI/ML solutions using Python and perform data analysis in collaboration with CoE solution architects with Oil & Gas domain expertise.Conduct technical analysis leveraging AI/ML technologies and Data Science skills, including gathering requirements, performing gap analysis, and identifying opportunities to apply AI/ML to solve customer challenges.Provide guidance on suitable AI/ML and data analytics solutions, and support business portfolio management, solution design, and demonstrations.Ensure client expectations are clearly understood and met through the application of AI/ML and Data Science solutions.Manage the timely and high-quality completion of assigned deliverables.Ensure adherence to AI/ML and Data Science best practices and methodologies throughout project execution.Offer expert knowledge and experience to estimate the technical effort required for implementing complex AI solutions.Qualification And ExperienceBachelor’s degree in Engineering or Computer Science with a focus on AI/ML/Data Science, plus a minimum of 2 years of industry experience in AI-based software development or related engineering disciplines.Willingness and ability to travel across the Yokogawa Middle East & Africa region.SkillsStrong communication skills, collaborative mindset, and ability to energize and work effectively within a team.Proficiency in Python programming with demonstrated experience in implementing AI/ML solutions.Solid understanding of machine learning concepts (e.g., Supervised, Unsupervised Learning, Reinforcement Learning, Large Language Models) and hands-on experience applying algorithms such as Linear Regression, K-Means, Support Vector Machines, XGBoost, etc in Python.Comprehensive knowledge of Data Science, including statistical analysis, machine learning, and data visualization techniques.Experience with cloud-based machine learning platforms (e.g., Azure ML Studio, AWS SageMaker) is a plus.Familiarity with Oil & Gas, Petrochemicals, or specialized chemical domains is an advantage.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process!

We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Middle East & Africa exciting and diverse landscape.You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.At your fingertips, you’ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!What You'll DoDevelop data driven strategies to drive the growth of Spotify users and subscribersIdentify new user growth levers in the SAMEA region and use experimentation to help drive that growthCreate and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimizationBuild scalable data pipelines and dashboards to facilitate business performance trackingWork closely with business partners to understand the change they are driving and help them discover new opportunities for growthDesign and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the wayPresent your findings to senior collaborators, influencing the course of our businessWho You AreYou have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQLExperience with distributed systems and cloud data platforms (BigQuery or GCP) is a plusExperience with AI tools (LLMs and coding assistants) is a plusIntellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the dataHave experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendationsHave a background in Economics, Computer Science, Statistics, Engineering or a relevant fieldComfortable working on a globally distributed team (with occasional international travel)Relevant experience in a consumer tech/product company is a plusWhere You'll BeThis role will be based at Spotify’s office in DubaiWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from homeWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-noticeToday, we are the world’s most popular audio streaming subscription service.

Job PurposeEmirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai. There are a number of key roles within our Skywards Group that are essential to the success of this this programme. From product design, e-commerce and analytics, through to business development, strategic partnerships and member engagement our Skywards team is filled with exciting opportunities!The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach. Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department. They will engage with relevant enterprise analytics, marketing & internal teams to develop data products.In This Role, You WillWork with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement. Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.Build automated dashboards, reports and scorecards for self-service use across the department. Train and support teams in understanding and utilizing the reports to make data-backed decisions.Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. Continuously improve the business data science models, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning within the department.Responsible for analysing overall performance of data-driven initiatives across the department, service ad-hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub & CRIS Warehouse.Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.Validate, interpret, and create reports, dashboard & presentations for departmental heads/management, and relevant stakeholders.Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.QualificationTo be considered for the role, you must meet the following requiremtents:Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business performance and driving top-line growthWorking experience in Loyalty or CommercialExperience in Technical expertise regarding data models, big data, customer/loyalty analysis, CRM database analysis, data mining and segmentation techniquesWorking experience in data science modelsStrong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.Ability to transform data to insights.Ability to organize well, work under pressure and juggle multiple requests.Knowledge of advanced technologies such as Snowflake, Data IKU, Helix, Python, R, SQL etc.At Emirates, we’re committed to helping our people grow and thrive. If you're ready for a rewarding and challenging career, apply today and become part of our world-class team.Salary & benefitsJoin us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website emiratesgroupcareers.com. Further information on what it's like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.

Job DescriptionThe Research Assistant (RA) will work directly under the supervision of Dr. Osama Sohaib and contribute to the development and implementation of the CultureXAI framework for precision public health in the UAE. The RA will play a central role in key technical components of the project, including machine learning model development, explainable AI (XAI) implementation, open data analysis, and fairness and bias assessment across diverse population groups. The RA will be responsible for data preprocessing and integration from multiple health and demographic sources, designing and evaluating predictive models for non-communicable disease (NCD) risk, and applying XAI techniques (e.g., SHAP, LIME, counterfactual analysis) to generate interpretable and culturally-aware insights. The role also includes supporting the development of a prototype decision-support dashboard for policymakers and healthcare stakeholders. In addition, the RA will contribute to academic dissemination by assisting in the preparation of high-quality research publications (targeting Q1 journals), technical reports, and conference submissions, as well as supporting broader project dissemination activities. The position requires strong analytical, programming, and research capabilities, along with the ability to work effectively in an interdisciplinary research environment.Minimum Qualification PhD in Business Analytics, Statistics, Data Science, Machine Learning, Computer Science, or a closely related quantitative discipline. - Strong foundation in machine learning, data analysis, and statistics - Proficiency in Python (e.g., Pandas, Scikit-learn) - Experience in developing dashboards or web-based applications (e.g., Flask, Streamlit, React)Preferred Qualification PhD in Machine Learning, AI, Data Science, or a related discipline - Prior experience in healthcare analytics, public health data, or applied AI research - Familiarity with explainable AI techniques (e.g., SHAP, LIME, counterfactual methods) - Experience with advanced ML models (e.g., XGBoost, Neural Networks)Expected SkillsExperience: - 1–3 years (RA level) or 3+ years / PhD-level (Research Associate) - Experience working with real-world datasets and applied machine learning projects Technical Skill Set: - Machine learning: supervised/unsupervised learning, model evaluation, hyperparameter tuning - Explainable AI: model interpretability, feature importance, fairness and bias analysis - Programming: Python (required); familiarity with TensorFlow/PyTorch is a plus - Data handling: data cleaning, preprocessing, and multi-source data integration - Visualization: Matplotlib, Seaborn, Plotly, or dashboard tools (e.g., Streamlit, Flask) Research & Soft Skills: - Academic writing and contribution to publications - Literature review and analytical thinking - Ability to work independently and collaboratively in interdisciplinary teamsClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number