data analyst

data scientist

senior data scientist

data engineer

senior data analyst

data science manager

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
<ul><li>
Build long term relationship with large GCC clients, including client business and Data Science teams</li><li>
Manage full spectrum of VCA project journey, starting from sales, proposal building, pricing, project kickoff, execution, story building to post project implementation support</li><li>
Liaise with VCA leadership and participate in proposal approval meetings to get internal project approvals</li><li>
Develop and strengthen GCC Data Science risk capabilities and develop new risk solutions for the clients</li><li>
Responsible for developing analytics and model-based solutions for Visa&rsquo;s issuer, acquirer, merchant, fintech clients addressing challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs</li><li>
With focus on building efficiency, find opportunities to automate the project pipeline of recurring projects using latest Data Science techniques</li><li>
Review, direct, guide, and inspire the analytical work of junior members in the team</li><li>
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency</li><li>
Manage and grow talent within the team</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Qualifications 
Minimum of 8+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required 
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering 
Experience working in one or more of the Card &amp; Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries 
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product 
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems 
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation 
Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels 
Proven ability to deliver results within committed scope, timeline and budget 
Very strong people/project management skills and experience 
Ability to travel within GCC on short notice 
 
Technical Expertise: 
Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) 
Familiarity with workings of Large Language models and ability to develop agents 
Capability to develop front end UI/UX would be plus 
Strong programming ability in different programming languages such as Python, Spark, R, Scala, Java, Matlab, C++, and SQL 
Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services 
Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc. 
Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro 
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc. 
Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID) 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

GCC Data Science Manager

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The role of Senior Data Scientist , will undertake data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. Transcend the world of theory, extracting knowledge and insights from data and bringing it to life in the business context. Collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.
In this role, you will:
<ul><li>Communicate and collaborate with key stakeholders to translate complex business problems into data science projects. Work with the team leads to assess the validity of the solutions and the excepted business value.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
</li><li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.
</li><li>Guide junior team members on data analysis, visualization and lead the development of tools, models and documentation.
</li><li>Support sprint/work design and planning.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: MSc/PhD in a relevant field such as data science, operations research, optimization, mathematics, science, data mining, artificial intelligence, applied statistics or economics.
</li><li>Experience: 4-7+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>Optimization Framework (Ceplex, FICO, Gurobi, etc.)
</li><li>Experience with: SQL, R, Python.
</li><li>Experience with: Gen AI, LLMs and Agentic AI.
</li><li>Code repositories and containers based frameworks e.g. Git and Docker.
</li><li>Experience working with DevOps &amp; Engineering teams to integrate the development code for models, workflows, libraries &amp; packages into automation processes.
</li><li>Experience building libraries and packages to be re-used by others and DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li><li>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Senior Data Scientist

Discovered MENA

<div>
 
 
 Head of Data Science
 
 
 
 
 Location: Dubai
 
 
 
 
 Tax Free Salary:
 
 45,000 - 55,000 AED
 
 
 
 
 
 We&rsquo;re looking for a
 
 hands-on Data Science leader
 
 with
 
 product/e-commerce experience
 
 and
 
 startup-build exposure
 
 &mdash;someone who can
 
 set strategy from scratch while remaining an IC
 
 , not a pure people leader or program director. This is a perfect role for someone ready to
 
 step up into leadership
 
 , hire a small team, and scale a practice to
 
 5&ndash;10 people
 
 .
 
 
 
 
 
 You will lead the intelligence layer of our marketplace, powering personalization, search/ranking, pricing, demand forecasting, inventory optimization, marketing science, and real-time agentic AI. You&rsquo;ll partner with Product, Engineering, Marketing, Supply Chain, and Commercial to turn data into measurable business outcomes.
 
 
 
 
 
 
 What You Will Lead
 
 
 
 
 1. Strategy &amp; Leadership
 
 
 <ul>
 <li>
 Own and execute the data science strategy tied to growth KPIs (acquisition, activation, AOV, repeat rate, margin).
 </li>
 <li>
 Build a roadmap balancing fast iteration with long-term foundations (feature store, real-time inference, experimentation).
 </li>
 <li>
 Hire and develop a multi-disciplinary DS/ML/MLOps team.
 </li>
 </ul>
 
 
 2. Customer Insights &amp; Personalization
 
 
 <ul>
 <li>
 Deliver multi-objective personalization across web/app surfaces.
 </li>
 <li>
 Build recommenders, search relevance, semantic search, and LTR models.
 </li>
 </ul>
 
 
 3. Pricing &amp; Merchandising Science
 
 
 <ul>
 <li>
 Lead dynamic pricing, elasticity models, and competitive price-matching.
 </li>
 <li>
 Optimize promotions, assortment, and attribute coverage.
 </li>
 <li>
 Apply causal inference for pricing/promo impact.
 </li>
 </ul>
 
 
 4. Forecasting &amp; Inventory Optimization
 
 
 <ul>
 <li>
 Build multi-layer forecasting models for buying and replenishment.
 </li>
 <li>
 Develop availability, stockout, returns/refund, and supply-chain efficiency models.
 </li>
 </ul>
 
 
 5. Marketing Science &amp; Experimentation
 
 
 <ul>
 <li>
 Own full-funnel attribution, incrementality, and ROAS optimization.
 </li>
 <li>
 Lead always-on experimentation with rigorous guardrails.
 </li>
 <li>
 Deliver LTV, CAC, churn, and audience segmentation models.
 </li>
 </ul>
 
 
 6. Agentic AI &amp; Automation
 
 
 <ul>
 <li>
 Build real-time agentic systems for merchandising, pricing, and operations.
 </li>
 <li>
 Implement human-in-the-loop workflows and feedback loops for continuous learning.
 </li>
 </ul>
 
 
 7. Catalog Quality &amp; Trust
 
 
 <ul>
 <li>
 Apply CV/NLP for enrichment, duplication, attribute extraction, and size mapping.
 </li>
 <li>
 Build fraud/abuse detection with explainability and review layers.
 </li>
 </ul>
 
 
 8. Data Platform, MLOps &amp; Governance
 
 
 <ul>
 <li>
 Collaborate with Engineering to scale the lakehouse, feature store, and streaming ecosystem.
 </li>
 <li>
 Implement mature MLOps (CI/CD, registries, canary/shadow deployments, monitoring).
 </li>
 <li>
 Champion governance, privacy, and model risk practices.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative field.
 </li>
 <li>
 12&ndash;15+ years applied DS experience (marketplace/e-com preferred).
 </li>
 <li>
 Demonstrated success shipping production ML that moved KPIs at scale.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong Python/R/SQL and deep expertise in ML, DL, NLP, forecasting.
 </li>
 <li>
 Experience with TensorFlow/PyTorch, Spark/Hadoop, and cloud platforms (AWS/GCP/Azure).
 </li>
 <li>
 Solid grounding in experimentation, causal inference, and statistical modeling.
 </li>
 </ul>
 
 
 
 
 If you fit the brief of the role and have built a product or ecommerce business's data science platform from the ground up, then APPLY NOW!
 
</div>

Head of Data Science (E-commerce)

dnata

<div>
 
 Job Purpose
 
 
 
 dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering &amp; retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world&rsquo;s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we&rsquo;d love to have you onboard.
 
 
 As a
 
 Data Analytics Manage
 
 r, you will drive data and performance enablement across dnata Airport Operations UAE (dAO) by designing frameworks that translate operational, financial, and workforce data into actionable insights. You will champion a data-driven culture through robust governance, clear metrics, and scalable solutions that support smarter, faster decision-making. Leveraging advanced analytics and data science, you will uncover opportunities, influence strategic direction, and enhance operational outcomes. Working closely with enterprise data teams and analytics stakeholders, you will align efforts, maximise capabilities, and ensure accountability across all data assets. You will also lead the development of trusted, integrated data products while strengthening the organisation&rsquo;s analytical maturity by coaching teams, uplifting data literacy, and ensuring a consistent, high-quality service to internal customers. Additionally, you will provide leadership to a team of data practitioners to ensure sustainable analytics adoption across the business.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Lead the dAO Data Analytics team comprised 4 key functions &ndash; Data Product, Business Engagement, Governance, and Data science.
 </li>
 <li>
 Document and maintain the dnata data and analytics strategy and operating model, ensuring alignment and effective implementation across dAO.
 </li>
 <li>
 Serve as the data steward for dAO by managing the central glossary, definitions, and standardised KPIs across markets and teams.
 </li>
 <li>
 Manage dependencies across related programs and provide updates for corporate reporting requirements, including strategic data management initiatives.
 </li>
 <li>
 Oversee daily data operations, workflows, and data management employees to ensure effective data integration, BI platform support, and solution implementation.
 </li>
 <li>
 Drive continuous review of data insights to assess operational effectiveness, eliminate inefficiencies, and recommend innovative improvements.
 </li>
 <li>
 Oversee the review, analysis, and reconciliation of data-generated reports, ensuring insights translate into actionable recommendations.
 </li>
 <li>
 Ensure published reports remain accurate, relevant, and supportive of day-of-operation visibility and decision-making.
 </li>
 <li>
 Lead engagement with Enterprise Data &amp; Analytics (ED&amp;A) and business stakeholders to define, prioritise, and enhance data capabilities.
 </li>
 <li>
 Analyse stored data to develop and validate business requirements, identify strategic gaps, and deliver actionable insights aligned with business objectives.
 </li>
 <li>
 Build and advance data management and analytics capabilities, including the development of predictive and forecasting models to support informed decision-making.
 </li>
 <li>
 Identify, scope, and deliver high-value use cases in collaboration with business leaders, including opportunities leveraging AI, machine learning, and automation.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for the role, you must meet the below requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 8+ years&rsquo; experience in Data Analytics, Business Intelligence, Engineering, or Industrial fields within an airline, ground handling, or similar operational environment.
 </li>
 <li>
 Minimum 3 years in a management role, leading cross-functional and virtual teams.
 </li>
 <li>
 Proven experience building and leading data communities of practice and promoting data-driven decision-making.
 </li>
 <li>
 Proficient in enterprise data platforms and cloud-based analytics ecosystems (e.g., Microsoft Azure, Snowflake).
 
 
 </li>
 </ul>
 
 You&rsquo;ll have an edge if you have
 
 
 
 <ul>
 <li>
 Strong communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language.
 
 
 </li>
 </ul>
 At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team!
 
 
 
 Recruitment Process and Timeline
 
 
 
 Emirates Group, is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.
 
 
 Salary &amp; benefits
 
 
 Join us in a management role and enjoy an attractive tax-free salary.
 
 
 On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>

Data Analytics Manager, dnata Airport Operations

The Arts Club Dubai

<div><div>The Arts Club Dubai is perfectly located in the heart of the DIFC, set over four floors and totaling 65,000 square feet, in the brand-new ICD Brookfield Place development designed by Foster + Partners. 
 
It is the first international outpost of the celebrated and historical private members&rsquo; club, established in 1863 in Mayfair, London. The Club&rsquo;s membership is a growing community of like-minded, diverse and dynamic people, all hailing from different cultures and sectors, from the region and further afield. 
 
A lifestyle for our members. 
 
The Club provides its members with a home away from home: a sanctuary for those seeking comfort, hospitality and elegance, with a level of quality, service and attention to detail that will leave them wanting for nothing.<div></div><div> 
Role Purpose
The Head of AI &amp; BI will lead The Arts Club Dubai&rsquo;s transformation into a data driven and intelligent organization. This role will design and execute a holistic AI and analytics strategy that elevates operational performance, optimizes financial systems, and redefines the member experience through technology.
The successful candidate will integrate business operations, data systems, and emerging technologies ensuring that every aspect of the Club&rsquo;s operations (CRM, finance, membership, F&amp;B, events, and guest experience) runs efficiently, intelligently, and seamlessly.
The position bridges strategic business planning and technical execution empowering TACD to deliver a digitally enabled, world-class member experience while maintaining operational excellence.
Key Responsibilities
Strategic Leadership<ul><li>
Develop and implement AI, Business Operations &amp; Technology strategy, aligning with the organization&rsquo;s growth and member experience keeping in mind the corporate and financial goals.</li><li>
Partner with the CFO, CEO, and senior leaders to identify business challenges that can be solved through AI driven insights and automation.</li><li>
Establish a data first culture, embedding intelligence and analytics into daily decision making across departments.</li><li>
Drive innovation initiatives from workflow redesign to adoption of intelligent systems and process reengineering</li></ul>
Data Infrastructure &amp; Systems Integration<ul><li>
Lead the modernization of the Club&rsquo;s data ecosystem, integrating CRM (Salesforce), ERP, HR, Symphony, Telephone etc and financial systems into a centralized data platform.</li><li>
Oversee the design, collection, storage, and visualization of high-quality data through robust architecture and governance frameworks.</li><li>
Implement real time dashboards and reporting systems that deliver actionable insights to leadership and operational teams.</li><li>
Evaluate and implement modern platforms (e.g., cloud ERP, POS, CRM, and member apps).</li><li>
Establish robust cybersecurity, data governance, and IT compliance frameworks.</li></ul>
AI, Automation &amp; Advanced Analytics<ul><li>
Develop and deploy machine learning and predictive models to forecast member engagement, revenue, and operational performance.</li><li>
Embed AI capabilities across key areas such as:</li><li><ul><li>
Member personalization and recommendation systems</li><li>
Demand and capacity forecasting</li><li>
Automated reporting and financial optimization</li><li>
Service efficiency and digital experience enhancement</li></ul></li><li>
Evaluate and implement cutting edge tools within Salesforce AI, Azure AI, or Google AI environments to enable intelligent workflows.</li><li>
Introduce innovation programs &mdash; pilot emerging tech such as IoT, predictive analytics, and digital twin models for member experience and facilities.</li></ul>
Marketing &amp; Communications<ul><li>
Define and implement an AI marketing strategy aligned with brand and membership growth goals.</li><li>
Integrate data and AI across all marketing touchpoints &mdash; from CRM and email automation to social media, content, and digital campaigns</li><li>
Build AI systems that personalize communication, offers, and content based on member profiles, preferences, and behaviour.</li><li>
Design and deploy recommendation engines for events, dining, and experiences.</li><li>
Enhance Salesforce Marketing Cloud and CRM intelligence layers using machine learning and NLP (natural language processing).</li><li>
Integrate AI chat and concierge tools to enhance member communications and digital engagement.</li><li>
Use AI to automate and optimize campaign management, including segmentation, timing, and channel mix.</li><li>
Implement language and image generation tools for marketing assets, event communications, and personalized messaging.</li><li>
Establish brand-safe generative AI guidelines for the marketing team.</li><li>
Analyse member sentiment, feedback, and social engagement using AI-powered listening tools</li></ul>
Business Insights &amp; Decision Support<ul><li>
Translate complex datasets into clear business insights and strategic recommendations.</li><li>
Lead the design and monitoring of KPIs for membership, finance, F&amp;B, team and event performance.</li><li>
Provide analytical leadership for performance tracking, strategic planning, and innovation initiatives.</li></ul>
Innovation &amp; Change Leadership<ul><li>
Act as a change catalyst for AI driven transformation across the organization.</li><li>
Foster data literacy and innovation culture through collaboration, coaching, and knowledge sharing.</li><li>
Stay ahead of emerging technologies and trends to maintain leadership in luxury hospitality intelligence.</li></ul>
Qualifications &amp; Experience
Essential<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Business Analytics, Finance, or related field.</li><li>
10+ years of experience in business intelligence, data strategy, digital transformation, or AI implementation, ideally within hospitality, luxury, or membership-based organizations.</li><li>
Proven success in designing and leading enterprise-wide data or AI transformations.</li><li>
Advanced proficiency with BI and data visualization tools (Power BI, Tableau, Looker).</li><li>
Experience integrating Salesforce CRM and financial systems through API or middleware platforms.</li><li>
Strong technical understanding of cloud systems, enterprise architecture, and automation platforms</li><li>
Strong understanding of AI and machine learning platforms (Azure AI, Google AI, Einstein Analytics, BOLT as an AI Chat / Communication Framework).</li><li>
Exceptional communication and stakeholder management skills.</li></ul>
Desirable<ul><li>
Master&rsquo;s degree in AI, Data Analytics, or MBA.</li><li>
Demonstrated experience in CRM optimization and member experience automation.</li><li>
Deep knowledge of data engineering, predictive analytics, and process automation.</li><li>
Familiarity with cloud data warehousing (e.g., Snowflake, BigQuery) and API based integrations.</li><li>
Exposure to AI-driven operations, data analytics, or digital twin models.</li><li>
Track record of leading cross-functional transformation projects in multi-site or hospitality-based environments</li></ul>
Personal Attributes<ul><li>
Strategic thinker with a strong technical foundation and execution mindset.</li><li>
Data driven, curious, and passionate about leveraging AI for tangible business outcomes.</li><li>
Inspiring leader who fosters innovation and cross functional collaboration.</li><li>
High emotional intelligence and cultural awareness suited for luxury hospitality environments.</li><li>
Excellent communicator who can influence and drive change across diverse teams</li><li>
Passionate about excellence, innovation, and the hospitality.</li><li>
Thrives in dynamic, high-performance environments.</li></ul>
Why Join The Arts Club Dubai<ul><li>
Lead a transformative vision &mdash; this is a rare opportunity to define and direct the AI and analytics strategy for one of the world&rsquo;s most distinguished private members&rsquo; clubs.</li><li>
Be the architect of innovation &mdash; drive the next generation of operational excellence by seamlessly integrating technology, data, and intelligence into every stage of the member journey.</li><li>
Shape the future of intelligent hospitality &mdash; harness insight and innovation to elevate member satisfaction, financial performance, and service excellence, positioning The Arts Club Dubai as a global leader in luxury and technology-driven hospitality</li></ul></div></div>
INDHEADOFFICE</div>

Head of Technology, Data & Innovation (TDI)

Prepaire Laboratory 7 Limited

Position: Senior Project Manager &ndash; Digital Twin Platform Location: Dubai / Abu Dhabi , UAEType: Full-time, Senior LevelAbout Prepaire LabsPrepaire Labs is building the world&rsquo;s first biological operating system, an open-architecture engine that powers AI-driven drug discovery, precision diagnostics, and real-time digital twins across federated labs worldwide.Our flagship project, GenetiQ (codename: iOS for Health), creates a dynamic digital replica of human biology by integrating multi-omics, imaging, wearable, and wet-lab feedback data. It enables clinicians and patients to understand, predict, and optimize health in real time.About the RoleWe&rsquo;re looking for a Senior Project Manager to lead the development and launch of the GenetiQ Digital Twin platform. You&rsquo;ll oversee a world-class technical team working across AI, bioinformatics, and cloud infrastructure, ensuring smooth coordination from MVP through global rollout.This is a senior execution role that combines technical depth with strategic vision, ideal for someone who can speak both the language of engineers and the language of commercial partnerships.What You&rsquo;ll Do<ul><li>Lead delivery of the Digital Twin MVP and federated deployment phases.</li></ul><ul><li>Manage timelines, budgets, and inter-team dependencies across engineering, data science, DevOps, and clinical integration.</li></ul><ul><li>Oversee containerized microservice builds (Kubernetes, Helm, GitOps) and ensure compliance with HIPAA, GDPR, and ISO 27001.</li></ul><ul><li>Coordinate implementation of GenetiQ&rsquo;s core AI stack &mdash; foundation models, knowledge graphs, and explainability engines.</li></ul><ul><li>Liaise between R&amp;D, product, and executive leadership to align milestones with commercial rollout.</li></ul><ul><li>Drive regulatory documentation, security audits, and federated site onboarding.</li></ul>What We&rsquo;re Looking For<ul><li>10+ years of experience managing complex technical programs (AI, health-tech, or life sciences preferred).</li></ul><ul><li>Solid understanding of cloud-native systems, microservice architectures, and federated learning.</li></ul><ul><li>Familiarity with bioinformatics, digital twins, or multi-omics data is highly desirable.</li></ul><ul><li>Demonstrated success leading cross-functional, distributed teams.</li></ul><ul><li>Strong organizational and communication skills &mdash; able to translate deep tech into clear strategy.</li></ul>Nice to Have<ul><li>Experience with graph databases (Neo4j, TigerGraph) or knowledge-graph applications.</li></ul><ul><li>Exposure to neuro-symbolic AI, post-quantum security, or wet-lab feedback systems.</li></ul><ul><li>Background in computational biology, data science, or biomedical informatics.</li></ul>Why Join Us<ul><li>Be part of a global project redefining how healthcare is personalized and delivered.</li></ul><ul><li>Work with top engineers and scientists across the U.S., Europe, and the UAE.</li></ul><ul><li>Help bring explainable, federated AI to real-world clinics and research labs.</li></ul>How To Apply: Send your CV and a short note about your most technically complex project to jobs@prepaire.com with the subject line &ldquo;Senior Project Manager &ndash; GenetiQ&rdquo;.Job Type: Full-time

Senior Project Manager – Digital Twin Platform

Elsevier

<div>
 
 About The Role
 
 
 
 The Customer Success Manager (CSM) plays a pivotal role across both pre- and post-sales stages, ensuring seamless onboarding, adoption, and long-term value realization of Elsevier solutions. Serving as a trusted advisor for customers in
 
 UAE, Oman, Bahrain, Jordan, Lebanon, Iraq, Iran &amp; Ethiopia
 
 &mdash;the CSM collaborates closely with Account Managers and support teams to align on strategic goals, drive engagement, and uncover upsell and cross-sell opportunities. Their focus is on maximizing customer satisfaction, retention, and renewal growth throughout the customer lifecycle.
 
 
 
 Key Responsibilities
 
 
 
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 Manage customer relationships to become a trusted partner - Develop new (influential) relationships - identify and nurture champions - facilitate product development through liaising between customer and product &ndash; identify requirements in relation to organizations&rsquo; ambition - navigate customer queries with relevant internal stakeholders.
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 Drive customer satisfaction &amp; customer success - Delivering tailored value stories (value reinforcement) - Demonstrating product/services ROI.
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 Retention and Renewal - Supporting closing new agreements/renewals with Sales team by identifying value story, customer needs and advocates for Elsevier solutions.
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 Identify Cross-sell &amp; upsell opportunities - Analyzing data &amp; understanding of customer needs and ambitions (value story) while adding value based on experience.
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 Conduct Customer training in a scalable way - Ensure that all digital &amp; f2f training is fulfilling a need with the customer/audience; this includes both demonstrations of products as well as workshops.
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 Work cross functionally &ndash; Share experiences across customer facing teams as well as the greater Elsevier organization to share success stories and ensure value proposition is clearly communicated and understood.
 
 
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 Requirements
 
 
 
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 Bachelor's degree or equivalent.
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 Fluent in English and Arabic is mandatory
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 3+ years of proven experience as Customer success manager preferred
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 SaaS or publishing or Higher Education background preferred
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 Proven project management and presentation skills
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 Proficient in Microsoft Office Suite
 
 
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 Working For You
 
 
 
 We promote a healthy work life balance, with flexible working hours, wellbeing initiatives, shared parental leave, study assistance and sabbaticals to meet your immediate responsibilities and long-term goals.
 
 
 
 These Are Some Of The Benefits On Offer
 
 
 
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 Medical and Air ticket
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 Competitive bonus
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 25 days paid annual leave
 
 
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 About The Business
 
 
 
 A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
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Customer Success Manager

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