33 Data Product jobs in the United Arab Emirates

Overview

We are looking for a highly analytical and business-minded Business Analyst with 2-3 years of experience, ideally with a background in market research and operational analysis. In this role, you will partner closely with cross-functional teams to turn complex data into actionable business insights that drive decision-making, operational efficiency, and strategic growth.

• Analyze internal and external data to identify trends, assess performance, and support business strategy;
• Conduct in-depth market research and competitive analysis to inform product and growth decisions;
• Translate data insights into clear, actionable recommendations that support execution across product, marketing, and operations;
• Build and maintain dashboards, business reports, and performance metrics to monitor KPIs and key initiatives;
• Collaborate with cross-functional teams to define data requirements and support business planning;
• Participate in forecasting, scenario modeling, and business case development;
• Provide ad hoc insights and data support for strategic and operational projects;

• Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field;
• 2-3 years of experience in data analytics or business analysis, with strong exposure to market research;
• Proficient in SQL and at least one analytical tool (e.g., Python, R, Excel);
• Experienced with BI platforms such as Tableau, Power BI, or Looker;
• Strong business acumen and ability to connect data findings to real-world decisions and outcomes;
• Excellent communication skills with the ability to influence stakeholders across departments;

• Experience in a crypto exchange, fintech, or fast-growing tech company;
• Familiarity with user behavior data, growth metrics, and financial KPIs;
• Understanding of web or mobile analytics platforms (e.g., Google Analytics, Mixpanel);

Overview

Digital Strategy and Data consultant will collaborate with multiple business and IT stakeholders within the target enterprise. Digital strategy and Data consultants are expected to create very good relationships with the client in order to ensure building trust to deliver continuous potential business value propositions. The consultant will lead the process to identify and evaluate digital asset capabilities and strengths and develop digital business strategies and roadmap.

• Bachelor’s degree in business, IT or any related field
• 7+ years of experience in global consulting firm with a focus on digital transformation, Data Strategy, performance improvement
• Strong analytical and problem-solving skill with high commitment to quality client service
• Excellent communication and interpersonal skills with the capacity to motivate and lead a team with enthusiasm, drive and effectiveness

Do you believe you have the qualifications we’re looking for? please send us your review and our recruitment team will contact you with the next steps

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A major player in the UAE is looking to set up a brand-new Data Governance function.

• Develop and execute a comprehensive strategy for establishing a data governance function within the organisation.
• Define the data governance vision, mission, and core principles, aligning them with business goals and regulatory requirements.
• Implement a data governance framework that facilitates self-service data access while ensuring data integrity and responsible use.
• Develop and execute a robust communication strategy to educate stakeholders across the organisation on data governance principles and best practices.
• Foster a collaborative data-centric culture where business units understand the value of data governance and actively participate in data stewardship.
• Work with business leaders to identify and prioritise data initiatives that align with strategic objectives.

• Bachelor's degree in business administration, Information Technology, or a related field with minimum 8 years of experience in data governance and strategy.
• Proven track record of successfully establishing and leading data governance programs in large-scale organisations.
• Excellent communication, collaboration, and stakeholder management skills.
• The ability to influence and build consensus across diverse business stakeholders, IT teams, and senior leadership.
• A strategic mindset with a focus on business outcomes and data-driven decision making.

About AI71:

• we build AI products and deliver AI custom solutions for privacy and data sovereignty sensitive corporations and government entities
• we're a product company with a strong advisory/forward deployed team
• Our flagship product is Ask - a customizable AI enterprise platform for knowledge workers' productivity. We're also building vertical AI products in construction, health, agriculture, and others
• We're a young (2023) but fast growing (140 people) company
• Our team comes from tier 1 product companies (DeepMind, Google, Amazon, Apple) and tier 1 strategy consulting firms (McKinsey QuantumBlack, BCG X)
• we're based in Abu Dhabi and have strong ties to the region - but we serve international customers

The Role: Squad PM - Data & ML Evaluation

• You'll be the product owner for all things product data and ML evaluation for Ask . You'll define the data strategy, instrumentation, experimentation, and model evaluation loops that drive product decisions and model quality. You'll lead a data and eval squad, you'll partner closely with PMs, data scientists, ML engineers, and platform teams to ensure we ship measurable, safe, and delightful AI features. You'll also help ground our pricing strategy in data.

• Product Data & Analytics
• Own the product data stack end-to-end across squads: telemetry, event schemas, tracking plans, data quality, warehousing, and accessibility of metrics both for our on-premise and our SaaS offerings.
• Define the product metrics framework (north stars, input metrics, leading indicators) and help stakeholders build reliable dashboards.
• ML Evaluation & Experimentation
• Build/own ML evaluation loops : curate test sets, define KPIs (quality, safety, bias, latency, cost), run offline/online evals, help evaluate agents, tools, finetunes, and retrieval changes; maintain an eval pipeline that's reproducible and automated in CI
• Lead experimentation : design and analyze A/B tests - help create a framework for testing our customers' agents and our hyper-parameters.
• Strategy & Governance:
• Ground pricing strategy in data : analyze feature/cost relationships, develop value-based pricing models, and create metrics that link usage patterns to pricing tiers.
• Set data standards : event naming, governance, PII handling, retention, and privacy-by-design in collaboration with Security/Legal teams.

• 5-8+ years in product roles with a strong engineering or data background (e.g., software, data engineering, ML engineering, analytics engineering) in tech product companies
• Proven ownership of instrumentation, analytics, and experimentation for a product surface or platform
• Deep comfort with SQL and experimentation stats (power, MDE, CUPED, guardrail metrics); able to sanity-check analyses and run your own when needed
• Practical experience working with ML-powered products and their evaluation (offline test sets, online metrics, drift/monitoring)
• Strong product sense + stakeholder management; able to drive clarity across PM, DS, Eng, and Execs
• Comfortable using AI tools to prototype analyses or small utilities (e.g., generate code for ETL, dashboards, or validators)

• Hands-on with Amplitude (or similar product analytics) and MLflow (or similar experiment tracking)
• Experience with RAG/LMM evals, safety/guardrail metrics, and red-teaming
• Familiarity with data modeling (e.g., dbt), feature stores, and observability (e.g., Monte Carlo, Great Expectations)
• Experience in privacy-sensitive / regulated environments

• Embedded in a Data and Eval within Ask , collaborating with the rest of the Ask team (~50 engineers, ~4 PMs, 1 PMM, and ~3 Product Designers)
• Close partnership with customers, Security/Legal (for data governance), Strategy and Finance teams

Dubai, United Arab Emirates | Posted on 08/05/2025

Position Title: Head of Data / AI Strategy & Governance Location: Dubai, UAE Job Type: Full-Time

About myZoi myZoi is a Standard Chartered Ventures fintech that ischanging lives for the better, for those who deserve it the most. We arecommitted to promoting global financial inclusion by offering affordable,accessible, and transparent financial services to the underbankedpopulations.

Our vision

To deliver a level playing field for the unbanked andunderbanked in accessing essential financial services through innovative,data-driven solutions that foster financial inclusion in an affordable,convenient, and transparent fashion.

The Role We are seeking atransformative Head of Data & AI Strategy - an enterprise-wide leaderresponsible for defining the strategic data and AI vision for myZoi. This rolewill play a pivotal role Win establishing an AI-enabled data ecosystem,ensuring governance, integrity, and actionable insights are embedded across allfunctions of the business.

You will be entrusted to craft and lead adata-driven culture, accelerate enterprise-wide AI adoption, and ensureresponsible governance by designing scalable data architecture, leading datagovernance initiatives, overseeing ethical and responsible AI integration,driving data literacy, and unlocking data value to power strategicdecision-making, innovation, and regulatory compliance.

KeyResponsibilities

Strategic Leadership & Enterp rise transformation

• Define and implement the overall enterprise data andAI strategy aligned with global growth, innovation, and operational excellencegoals.
  
• Act as a strategic partner to the executive leadershipteam, influencing business decisions and company direction through datainsights.
  
• Lead enterprise data monetization initiatives,developing new revenue streams leveraging AI and data products.
  
• Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
  
• Drive a data and AI-enabled transformation across allfunctions, fostering a strong data culture and change adoption at all levels ofthe organization.
  
• Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
  
• Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
  
• Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
  

DataStrategy & Architecture

• Develop and maintain the enterprise data strategy,shaping and scaling its impact as a core enabler of business innovation andintelligence .
  
• Collaborate with the leadership team to aligndata and AI strategy with organizational priorities.
  
• Lead the development of data models,pipelines, and platforms to support analytical, AI, and operational needs.
  
• Ensure data architecture is scalable andsupports cloud-native, real-time, and AI-driven processing.
  
• Establish data quality, lineage, and master datamanagement frameworks to support business information and AI/ML use cases
  
• Build and lead a cross functional high-performing datateam, covering data/AI governance, architecture, andimplementation.
  

Data Use & AI Enablement

• Work with all functions (like product, innovation,marketing, engineering, operations, etc.)toidentify opportunities for data driven AI/ML applications across theorganization.
  
• Drive integration of machine learning and intelligentautomation to enhance decision-making and customer experiences.
  
• Promote data and AI literacy across theorganization through training, tools, and awareness campaigns.
  
• Monitor emerging AI trends and appropriate tools toensure myZoi remains on the leading edge of innovation.
  

Data& AI Governance

• Develop and implement data governanceframeworks, including data ownership, stewardship, classification, and datalifecycle management.
  
• Work with Innovation, Technology, Risk &Compliance on Data & AI governance, including model transparency, biasmitigation, and ethical use standards.
  
• Define and implement data/AI standards,policies, and framework across the organization.
  
• Ensure high levels of data quality, accuracy, andcompliance with regulatory requirements (e.g., GDPR, BCBS239, AI, and otherlocal regulations).
  

Risk,Security, and Compliance

• Ensure data and AI security, privacy, and riskcontrols are effectively designed and implemented in alignment with risk, legaland regulatory frameworks.
  
• Def ineaccess control and security frameworks for data assets
  
• Engage with senior leadership, regulators, andindustry bodies on data and AI governance matters.
  

Qualifications& Experience

• 15+ years of progressive experience in dataarchitecture, AI/ML, enterprise data strategy and governance, preferably withinfintech, financial services, or highly regulated industries.
  
• Proven record of accomplishment in designing,scaling, and managing enterprise-wide data and AI initiatives in cloud and hybrid environments (preferablyleveraging AWS tech stack).
  
• Strong knowledge of data governance tools, AI modellifecycle, metadata management, MDM, and data quality practices.
  
• Demonstrated ability to work across businessand technology domains, Deep expertise in cloud data platforms (AWSpreferred), data governance tools, ethical AI, and compliance frameworks.
  
• Strong leadership skills with experience managingdiverse, cross-functional teams and drivingcollaboration and results.
  

Skills& Personal Attributes

• Strategic thinker with deep technical expertise indata and AI,
  
• Capable of translating business vision into actionablestrategies.
  
• Inspirational leader who champions innovation,collaboration, and organi z ationaltransformation.
  
• Excellent communicator with stakeholder engagement andchange management skills.
  
• Focused on driving measurable outcomes and creatingstrategic value from data and AI investments.
  
• Strong analytical mindset, attention todetail, and commitment to data integrity and responsible AI use.
  
• Collaborative and proactive problem-solverwith a passion for enabling innovation through data and AI.
  

At myZoi we strive to create a both a productand a team that embraces equality, inclusion, diversity and freedom. We wantpeople who can be themselves and bring their own brand of value to the team.Come and join us!

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.