21 Data Driven Products jobs in Dubai

Overview

Job ID: | Amazon Development Centre Ireland Limited

If you are passionate about the Customer Experience, think and act with a global perspective and have the ability to contribute to sophisticated innovations in the area of building controls and automation initiatives, this is the challenge you are looking for!

AWS Infrastructure Services (AIS) – AIS owns the design, planning, delivery, and operation of all AWS global infrastructure. We’re the people who keep the cloud running, supporting all AWS data centers and the servers, storage, networking, power, and cooling equipment to ensure continual access to innovation. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to deliver safety and security while providing capacity at the lowest possible cost. You’ll experience an inclusive culture that empowers you to own ideas to completion.

Worldwide Sustainability (WWS) capitalizes on Amazon’s scale, speed, and ability to build, invent, and simplify a resilient and sustainable company. We manage our social and environmental impacts and drive solutions that enable customers, businesses, and the world to become more sustainable.

• Are controls subject matter experts (SMEs) with knowledge of building operations, electrical generation and distribution equipment (generators, UPS, etc.), mechanical plant and strategies (AHUs, chillers, etc.), BMS/EPMS programming concepts, control diagrams, industrial HVAC, electrical line-ups, one-line diagrams, and complex environmental and electrical concepts
• Create, maintain, and disseminate project specific scope of work (SOW) documents, specifications and engineering drawings as well as global design standards
• Operate in high security critical environments while maximizing productivity
• Innovate to develop new solutions to support team and company goals and initiatives
• Interpret and develop a combination of mechanical, electrical and plumbing drawings
• Serve as a central point of contact as technical SMEs for multiple internal and external groups regarding mechanical and electrical controls standards
• Manage and prioritize requests for information on new construction builds, existing site facilities support and legacy site enhancement projects
• Ensure systems are deployed and commissioned to documented standards
• Strive for frugality through budgetary review and customer-focused interpretation of needs
• Be technical subject matter experts in mechanical and/or electrical controls
• Anticipate roadblocks and risks with escalation management
• Work quickly and autonomously to deep dive and resolve unexpected challenges
• Effectively manage external consultants’ performance to ensure high-quality delivery
• Review vendor bid packages and make selection recommendations
• Work across multiple projects simultaneously
• Interact with AWS cloud services and other applications to present, archive and analyse data
• Solve problems to drive results while handling multiple tasks
• Travel domestically and internationally as needed to manage projects (circa 25% of the time)

As part of the EMEA controls design team, you will work with highly motivated experts and innovators in the data center industry. You will lead the electrical and mechanical controls design of critical infrastructure projects including HV Substations, Leased and Colocation Data Centres. You will develop new processes and standards and test innovations in the controls space using Amazon leadership principles.

ABOUT AWS:

Diverse Experiences: Amazon values diverse experiences. If you do not meet all preferred qualifications, we encourage you to apply. If your career is just starting or has followed a non-traditional path, don’t let it stop you from applying.

Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies.

Work/Life Balance: We value work-life harmony and strive for flexibility in our working culture. Support at work and home enables us to achieve more.

Inclusive Team Culture: We promote inclusion and empower our people with affinity groups and inclusive events to foster strong, collaborative teams and bold ideas.

Mentorship and Career Growth: We offer knowledge-sharing, mentorship, and career-advancing resources to help you grow.

• Good understanding of electrical diagrams, control diagrams, building operations, control circuits, industrial HVAC.
• Demonstrated leadership in IT technology and MEP/ACS design engineering environments to deliver results.
• Experience driving large-scale enterprise data center projects.
• Fundamental understanding of Data Center IT Infrastructure
• BA/BS degree or equivalent professional experience.

• B.S. in Electrical Engineering, Mechanical Engineering, Engineering Technology, or related engineering degree
• Experience with the use and programming of building management systems (Schneider, Siemens, Tridium, Trend preferred).
• Experience with the use and programming of electrical power monitoring systems (Schneider, Eaton preferred).
• Knowledge of Data Center Facilities Infrastructure and operation (PDU, UPS, Generators, etc.)
• Proficiency in computer applications such as SQL, Microsoft Word, Excel, and Project.

Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on experience and skills. We value your passion to discover, invent, simplify and build. Protecting privacy and data security is a priority. Please consult our Privacy Notice to know how we collect, use and transfer personal data of candidates.

Amazon is an equal opportunity employer and does not discriminate on protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver best results. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the company accommodations page for more information. If your country/region isn’t listed, contact your Recruiting Partner.

Posted: October 1, 2025 (Updated 4 days ago)

Posted: June 23, 2025 (Updated 21 days ago)

Amazon is an equal opportunity employer and does not discriminate on protected veteran status, disability, or other legally protected status.

Data Engineering – Subject Matter Expert (Dubai Hybrid)

About the role We are seeking a seasoned Data Engineering SME with strong experience in data platforms, ETL tools, and cloud technologies. The ideal candidate will lead the design and implementation of enterprise-scale data solutions, provide strategic guidance on data architecture, and play a key role in data migration, data quality, and performance tuning initiatives. This role demands a mix of deep technical expertise, project management, and stakeholder communication.

Key Responsibilities

• Lead the design, development, and deployment of robust, scalable ETL pipelines and data solutions.
• Provide technical leadership and SME support for data engineering teams across multiple projects.
• Collaborate with cross-functional teams including Data Analysts, BI Developers, Product Owners, and IT to gather requirements and deliver data products.
• Design and optimize data workflows using tools such as IBM DataStage, Talend, Informatica, and Databricks.
• Implement data integration solutions for structured and unstructured data across on-premise and cloud platforms.
• Conduct performance tuning and optimization of ETL jobs and SQL queries.
• Oversee data quality checks, data governance compliance, and PII data protection strategies.
• Support and mentor team members on data engineering best practices and agile methodologies.
• Analyze and resolve production issues in a timely manner.
• Contribute to enterprise-wide data transformation strategies including legacy-to-digital migration using Spark, Hadoop, and cloud platforms.
• Manage stakeholder communications and provide regular status reports.
  

Required Skills and Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field (MTech in Data Science is a plus).
• 8+ years of hands-on experience in ETL development and data engineering.
• Strong proficiency with tools: IBM DataStage, Talend, Informatica, Databricks, Power BI, Tableau.
• Strong SQL, PL/I, Python, and Unix Shell scripting skills.
• Experience with cloud platforms like AWS and modern big data tools like Hadoop, Spark.
• Solid understanding of data warehousing, data modeling, and data migration practices.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving, communication, and team collaboration skills.
• Scrum Master or Product Owner certifications (CSM, CSPO) are a plus.

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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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We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

• ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

• Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

• Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

• 6+ years of experience in machine learning engineering or applied data science .

• Hands-on expertise with MLFlow, Databricks, and Azure ML .

• Strong experience in developing and deploying predictive ML models , ideally within healthcare.

• Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Knowledge of model monitoring, drift detection, and automated retraining strategies .

• Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

• Strong problem-solving and collaboration skills with a focus on production-grade delivery.

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.

Overview

MAIN OBJECTIVE OF ROLE To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage.

• Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
• Drives continuous process improvement and optimization by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
• Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
• Develops and executes the organization’s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
• Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
• Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
• Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
• Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
• Defines KPIs and tracks ROI for AI initiatives to ensure value delivery and continuous improvement.
• Acts as a “data translator,” bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.

• Bachelor's Degree (3+ years)
• Degree in Information Technology, Computer Science, Data Science, or related field
• Fluent in English
• Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.
• Years with qualifications: 10 - 12 years
• Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage

• Customer Focus
• Teamwork
• Effective Communication
• Personal Accountability & Commitment to achieve
• Resilience & Flexibility (Can do attitude)
• Decision Making
• Inspiring & Developing Others
• Strategic Thinking
• Business Acumen

Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.

Data Science Manager - Customer | Al-Futtaim Automotive

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

Overview of the role
As a Data Science Manager (Customer) at Al-Futtaim Automotive, you will lead customer-centric AI and advanced analytics initiatives that drive marketing performance and enhance the customer experience. This role focuses on building predictive models, customer insights, and hyper-personalization solutions that create measurable business impact.

What you will do

• Build and deploy predictive models such as lead scoring, precision marketing, marketing attribution, customer segmentation, and hyper-personalization.
• Standardize and optimize marketing performance KPIs across brands using advanced statistical methods and data visualization.
• Deliver actionable customer insights through cohort analysis, customer lifetime value modelling, churn prediction, and campaign performance analysis.
• Collaborate with stakeholders to identify, define, and prioritize high-impact use cases supported by data-driven business cases.
• Lead and mentor a team of data scientists to deliver scalable AI/ML solutions that directly improve marketing ROI and customer experience.

Required skills to be successful

• Advanced knowledge of ensemble methods, gradient boosting, uplift modelling, and multi-arm bandits for marketing optimization.
• Expertise in attribution models (Markov chains, Shapley values), clustering techniques, recommender systems, and hyper-personalization.
• Proficiency in NLP, reinforcement learning, cohort analysis, lifetime value modelling, and churn prediction.
• Strong problem-solving skills and the ability to translate complex data science solutions into business value.
• Excellent stakeholder management, communication, and project management capabilities.

About the team
You will report to the Head of Customer Data Science and lead a small team comprising a Data Science Manager and Data Scientists. The team plays a pivotal role within the Finance Department at Al-Futtaim Automotive, driving innovation in customer analytics and marketing science.

What equips you for the role

• Bachelor’s, Master’s, or PhD in Marketing Analytics, Computer Science, or a related field.
• 7+ years of experience in customer analytics, data science, and AI/ML solutions.
• Hands-on expertise with machine learning techniques including CNNs, RNNs, LSTMs, time series forecasting, survival analysis, graph neural networks, Bayesian and causal modelling.
• Skilled in Python, SQL, Databricks, and modern ML libraries (scikit-learn, TensorFlow, PyTorch, Prophet, ARIMA/SARIMA).
• Proficient in CRM systems, marketing analytics platforms, and MLOps practices.
• Experience with LLMs, RAGs, and modern AI-based recommendation systems.
• Strong leadership skills to manage and mentor a data science team.

About Al-Futtaim Automotive
A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world’s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

Data Science Manager - Finance | Al-Futtaim Automotive

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

As a Data Science Manager(Finance) at Al-Futtaim Automotive, you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision-making. This role focuses on advanced predictive modelling, financial forecasting, and portfolio optimization to create measurable impact across the organization

• Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.
• Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.
• Generate financial insights through time series analysis, portfolio optimization, survival analysis, and risk modelling.
• Collaborate with finance and risk teams to identify and prioritize high-potential data-driven use cases.
• Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models

• Advanced expertise in time series forecasting, regression, logistic regression, and random forests.
• Strong skills in survival analysis, neural networks, reinforcement learning, and genetic algorithms.
• Deep knowledge of portfolio optimization, risk modelling, and causal inference techniques.
• Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.
• Strong understanding of financial regulations and their impact on AI/ML model development.
• Excellent stakeholder management and ability to translate complex financial models into actionable insights

You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager. The team operates within the Finance Department, playing a critical role in enhancing financial planning, risk management, and profitability through advanced analytics

• Bachelor’s, Master’s, or PhD in Financial Analytics, Computer Science, or related field.
• 7+ years of experience in financial analytics, data science, and machine learning.
• Hands-on expertise in advanced statistics, optimization, causal and Bayesian modelling, time series forecasting, Monte Carlo simulations, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, problem-solving, and communication skills to manage teams and deliver business impact.

About Al-Futtaim Automotive : A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world’s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial & construction equipment. What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

Overview

Data Science Manager (Operations) at Al-Futtaim Automotive leads AI and advanced analytics initiatives that transform operational performance across the business. This role focuses on predictive modelling, anomaly detection, and process optimization to drive efficiency, reduce costs, and enhance customer satisfaction.

• Build and deploy predictive models for price elasticity, predictive maintenance, churn prediction, and anomaly detection in parts utilization.
• Standardize operational KPIs and real-time reporting systems across brands using statistical process control and advanced visualization techniques.
• Deliver actionable insights on sales and operational performance using causal inference, A/B testing, and counterfactual models.
• Collaborate with cross-functional stakeholders to identify new use cases, define business cases, and prioritize high-impact initiatives.
• Lead and mentor a team of data scientists, ensuring robust MLOps practices and scalable model deployment.

• Expertise in time series analysis, regression, and survival analysis for price elasticity and churn prediction.
• Proficiency in IoT data analysis, predictive maintenance algorithms, and unsupervised learning techniques for anomaly detection.
• Strong knowledge of causal inference, A/B testing, counterfactual modelling, and optimization algorithms.
• Familiarity with deep learning frameworks and pattern recognition for complex operational data.
• Strong stakeholder engagement and the ability to turn complex data insights into operational improvements.

You will report to the Head of AI and Data Science for Operational Excellence and lead a team of Data Scientists and a Data Science Manager. The team works within the Finance Department, playing a key role in improving efficiency, reducing risk, and unlocking value across all operational functions.

• Bachelor’s, Master’s, or PhD in Computer Science, Statistics, or a related field.
• 7+ years of experience in data science, operations analytics, or AI-driven business transformation.
• Hands-on expertise with advanced statistics, optimization, survival analysis, causal and Bayesian modelling, time series forecasting, graph neural networks, and recommender systems.
• Proficient in Python, SQL, Databricks, and ML libraries (TensorFlow, PyTorch, Scikit-learn, ARIMA/SARIMA, Prophet).
• Knowledge of NLP, transformers, autoencoders, NER, computer vision (OpenCV, YOLO), and model explainability (SHAP, LIME).
• Experience with MLOps, Git, and visualization tools (Matplotlib, Seaborn, Plotly).
• Strong leadership, communication, and project management skills.

A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. Our core business activities include distribution, manufacturing, leasing and aftersales, and we are the regional representative of brands such as Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. We are driven by a customer-centric approach, pushing innovation, quality standards, and value-added service across our customer base. Our mission is to become the leader in mobility solutions by delivering world-class omni-channel experiences. We employ a 9,000-member team with growth opportunities across the career path. This is Al-Futtaim Automotive and we empower talent to move forward.

The hiring organisation is a well-established entity within the retail industry, known for its innovative approach to loyalty programs. Operating as a large organisation, they are committed to leveraging data to enhance customer engagement and optimise business outcomes.

Analytics Strategy & Leadership

• Define and execute the data and analytics roadmap for loyalty, CRM, and marketing programs.
• Build and mentor a high-performing team of data scientists, analysts, and BI specialists.
• Foster a data-driven decision-making culture across the organization.

Loyalty & CRM Analytics

• Design and measure loyalty program strategies to improve retention, engagement, and ROI.
• Leverage AI/ML for personalization, segmentation, and churn prediction.
• Monitor and optimize customer lifetime value (CLV) across all segments.
• Deliver omnichannel analytics that integrate data from in-store, eCommerce, app, and digital platforms.

Insights & GTM Strategy

• Partner with marketing and commercial teams to shape go-to-market (GTM) strategies driven by customer insights.
• Provide recommendations on reward structures, promotional campaigns, and customer journeys to maximize impact.
• Develop executive dashboards and KPIs to track loyalty program performance and GTM effectiveness.

Data Management & Governance

• Oversee data integration across POS, CRM, eCommerce, mobile, and digital channels.
• Ensure data quality, governance, and compliance with industry standards.
• Drive adoption of cloud-based analytics platforms and scalable data models.

A successful Director of Data Analytics (Loyalty) should have:

• Minimum degree qualified, Masters is preferred, with past experiences in loyalty programs within retail, restaurant chain, banking or airlines.
• 12+ years of experience in data analytics, with at least 5 years in leadership roles.
• Exceptional communication and stakeholder management skills, with experience influencing C-level executives.
• Strong expertise in retail, loyalty program design, CRM, and omnichannel analytics.
• Proven success in customer segmentation, CLV modelling, and GTM strategy enablement.
• Proficiency in cloud based analytics platforms, strong technical understanding of AI/ML methodologies.
• Excellent business acumen with the ability to translate analytics into strategic recommendations.