head of data

National Foods Limited

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 Lead the Data &amp; Digital Delivery pillar within DDT, driving the design, delivery, and governance of enterprise data platforms, analytics, AI/automation, and digital capabilities. Leads development of the enterprise Lakehouse, analytics, AI/ML models, digital platforms (SFA/DMS, B2B/D2C), automation, and API ecosystem. This role transforms the NFL into a data-driven and AI-enabled organization by standardizing data products, governing semantic layers, and ensuring digital platforms deliver measurable commercial value.
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Lead the vision, strategy, and enterprise adoption of digital, data, and AI capabilities aligning with business growth, commercial priorities, and DDT transformation roadmap.
 </li>
 <li>
 Define and govern the architecture, roadmap, and multi-year evolution of the Data Lakehouse, ensuring scalability, stability, and alignment with enterprise needs.
 </li>
 <li>
 Develop and enforce data governance, quality, security, and compliance standards across semantic models, data pipelines, APIs, and analytics environments.
 </li>
 <li>
 Oversee end-to-end delivery of analytics, BI, and reporting platforms (Power BI, dashboards, semantic layers), ensuring data accuracy, reliability, and performance.
 </li>
 <li>
 Drive development, deployment, and lifecycle management of AI/ML solutions including forecasting, optimization, segmentation, predictive analytics, and AI copilots.
 </li>
 <li>
 Lead automation strategy and delivery using RPA, workflow automation, and AI agents to unlock organizational efficiency and productivity gains.
 </li>
 <li>
 Ensure digital platforms (SFA, DMS, eB2B, D2C, field sales tools) deliver measurable commercial value, high user experience, and strong integration with core systems.
 </li>
 <li>
 Establish and lead portfolio governance for all digital/data initiatives ensuring prioritization, alignment with OKRs, risk oversight, and value realization.
 </li>
 <li>
 Define and track KPIs such as MAPE improvement, OOS reduction, automation hours saved, adoption rate, digital uptime, and ROI metrics.
 </li>
 <li>
 Supervise planning, development, testing, deployment, and post-go-live stabilization of all digital/data projects ensuring timely delivery and sustained adoption.
 </li>
 <li>
 Evaluate proposals, business cases, and innovation opportunities to determine feasibility, cost-benefit, strategic fit, and expected ROI.
 </li>
 <li>
 Bridge the gap between technical teams and business stakeholders, translating business needs into digital/data solutions and ensuring clear communication of outcomes.
 </li>
 <li>
 Lead continuous improvement initiatives by enhancing digital workflows, analytics maturity, data usage, and decision-making capabilities across business units.
 </li>
 <li>
 Cultivate strong relationships with cloud providers, data/AI vendors, platform integrators, and consulting partners ensuring optimized performance and value delivery.
 </li>
 <li>
 Negotiate vendor contracts, license agreements, SLAs, and service obligations, ensuring cost efficiency, performance guarantees, and vendor accountability.
 </li>
 <li>
 Champion data literacy, digital fluency, and AI adoption through structured change management, communication campaigns, and capability-building programs.
 </li>
 <li>
 Work closely with business functions (Sales, Finance, SCM, Marketing, Exports, HR) to identify digital opportunities, enhance user experience, and embed analytics in decision-making.
 </li>
 <li>
 Develop and manage multi-million PKR budgets covering digital platforms, analytics, AI/ML, and automation, ensuring cost-effective execution of initiatives.
 </li>
 <li>
 Conduct cost-benefit analyses and optimize cloud and platform spend, identifying savings opportunities via rationalization, scaling policies, and FinOps.
 </li>
 <li>
 Ensure compliance with data governance, cybersecurity, privacy, and regulatory standards, coordinating with IT Governance, EA, and Cybersecurity teams.
 </li>
 <li>
 Lead adoption of secure practices across digital/data platforms, ensuring SoD controls, audit readiness, encryption, access governance, and DR capabilities.
 </li>
 <li>
 Stay ahead of emerging technologies (GenAI, RPA, Low-code platforms, IoT, Vision AI) and recommend opportunities for digital innovation and competitive advantage.
 </li>
 <li>
 Drive innovation discovery and experimentation cycles, managing pilots, PoCs, and scale decisions in collaboration with Tech Strategy &amp; Innovation
 </li>
 <li>
 Promote cross-functional collaboration and knowledge sharing to enhance internal digital capabilities and minimize vendor dependency.
 </li>
 <li>
 Develop and implement talent strategies for digital and data teams, including hiring, skill development, succession planning, and career growth.
 </li>
 <li>
 Foster a performance-driven culture by defining clear KPIs, setting goals, reviewing performance, and coaching teams.
 </li>
 <li>
 Represent the Data &amp; Digital Delivery function in leadership councils, steering committees, and cross-functional programs, ensuring strategic alignment and enterprise integration.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications And Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field; Master&rsquo;s preferred.
 </li>
 <li>
 15+ years in data engineering, analytics, and digital delivery, including 5+ years in senior leadership.
 </li>
 <li>
 Proven experience in Lakehouse, cloud platforms (Azure/AWS/GCP), API frameworks, AI/ML, and automation.
 </li>
 <li>
 PMP/Agile certifications preferred.
 </li>
 <li>
 Experience in FMCG or manufacturing industries is desirable.
 </li>
 </ul>
 
 
 
 
 
 Professional Knowledge And Certifications
 
 
 
 
 
 <ul>
 <li>
 Cloud/Data Platform Certifications (Azure, AWS, GCP)
 </li>
 <li>
 AI/ML, RPA, and Automation Certifications
 </li>
 <li>
 Project Management Professional (PMP&reg;) &ndash; PMI
 </li>
 <li>
 Agile / Scrum Certification (e.g., Certified ScrumMaster, PMI-ACP)
 </li>
 <li>
 ITIL v4 Foundation / Intermediate
 </li>
 <li>
 COBIT (Control Objectives for Information and Related Technologies)
 </li>
 </ul>
 
 
 
 
 
 Location
 
 
 
 
 
 
 Karachi, Pakistan
 
</div>

Head of Data & Digital Delivery

Aufgaben Profil Wir bieten Für unsere schönen Büros in Hamburg und München suchen wir zum nächstmöglichen Zeitpunkt eine:n Head of Rewards Data DACH (m/w/d) Aon steht dafür, Entscheidungen zum Besseren zu gestalten - um das Leben von Menschen auf der ganzen Welt zu schützen und zu bereichern. Mit weltweit 60.000 Mitarbeitenden bietet Aon . klicken sie bewerben, für die volle Stellenbeschreibung

Head Of Rewards Data Dach (m/w/d)

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)

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Sunday 04 January 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
The purpose of the Engineering Lead is to work with the Lab Product Owner to provide effectively leadership and management of the teams in their Labs. Specifically, this requires setting the vision, mobilisation of the teams required to deliver it and ensuring effective delivery execution. With the Lab PO they are also responsible for all operational management activities including workforce plans, risk and issue mitigation and cost management. There is a particular focus on the ways of working and overall engineering experience, where the Engineering Lead is responsible for creating the right environment for effective delivery which will include the identification of blockers and action plans to remove them.<div></div><div>
Job Description</div><ul><li><div>
About this opportunity&hellip; We are seeking an experienced Head of Data Engineering to lead the data engineering strategy for our Consumer Data Lab. You will drive the transformation of our data platforms and pipelines to power next-generation customer experiences, and support data-led innovation across savings, lending, cards, mortgages, and digital banking. This is a high-impact leadership role, responsible for building and scaling a modern, secure, and high-performing data ecosystem aligned to both regulatory standards and our bold digital growth ambitions. Key Responsibilities: &bull; Define and own the data engineering strategy for the Consumer BU, ensuring alignment with group-wide technology, data, and digital strategies. &bull; Partner with business and product leaders to translate commercial goals into scalable data solutions. &bull; Lead the design, build, and evolution of cloud-native, real-time, and batch data platforms. &bull; Lead, mentor, and scale a high-performing team of data engineers, platform engineers, and architects. &bull; Foster a culture of innovation, accountability, and continuous improvement. &bull; Champion data quality, lineage, and compliance practices, aligned with UK regulatory and ethical standards (e.g., GDPR, FCA guidelines). &bull; Ensure robust data governance in collaboration with data stewards and governance leads. &bull; Own the end-to-end delivery of data engineering projects across multiple squads using Agile/DevOps methodologies. &bull; Drive operational reliability, cost efficiency, and SLA adherence across platforms and pipelines. &bull; Act as a trusted advisor to business and technology stakeholders, influencing roadmaps and investment priorities. &bull; Engage actively with cross-functional teams including Data Science, Digital Product, Risk, Compliance, and Enterprise Architecture. We are on an exciting journey to transform our Group and the way we are shaping finance for good. We are focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a wonderful place for everyone. Including you. We understand no one can be an expert in every aspect of Data Engineering. However, if you have coding or scripting knowledge / experience with a data engineering background, we would like to hear from you. Classification: Public Specifically, we are looking for people who have&hellip;. &bull; At least 10 years of proven experience in software engineering, with at least 5 years in a leadership &bull; Proven experience in leading large-scale data engineering teams in highly regulated industries, preferably retail banking or fintech. &bull; Expertise in modern data architecture, including data lakes, lakehouses, streaming, event-driven design, and data mesh principles. &bull; Deep hands-on knowledge of cloud platforms (preferably GCP), Big Data tools (Spark, Kafka, Databricks), and orchestration (Airflow, dbt, etc.). &bull; Strong understanding of data privacy, ethics, and regulatory requirements in UK financial services. &bull; Demonstrated experience managing multi-million-pound budgets and delivering large transformation initiatives. &bull; Inspirational people leader with a track record of building diverse, inclusive, and high-performing teams. &bull; Comfortable engaging at the C-suite level and translating technical vision into commercial outcomes. &bull; Bachelor&rsquo;s degree or higher in computer science, software engineering, or a related field. &bull; Advanced knowledge of containers (Docker, Kubernetes) &bull; Experience of hiring and recognising and developing talents Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups</div></li></ul></div>

Engineering Lead

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Director, Data Scientist
Director, Data Science
 
Overview 
 
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making. 
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business. 
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases. 
 
Your Role and Responsibilities: 
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul> 
All about you 
 
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul> 
Good to Have 
 
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Director, Data Scientist

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 The
 
 Director of Data Science (ML)
 
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 
 
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Strategic Leadership
 </li>
 <li>
 Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
 </li>
 <li>
 Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
 </li>
 <li>
 Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
 </li>
 <li>
 Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
 </li>
 <li>
 Team Leadership &amp; Development
 </li>
 <li>
 Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
 </li>
 <li>
 Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
 </li>
 <li>
 Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
 </li>
 <li>
 Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
 </li>
 <li>
 Technical &amp; Operational Excellence
 </li>
 <li>
 Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
 </li>
 <li>
 Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
 </li>
 <li>
 Define and oversee the technical AI roadmap and direction for the team.
 </li>
 <li>
 Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
 </li>
 <li>
 Champion MLOps and automation to reduce experimentation-to-production cycle time.
 </li>
 <li>
 Product Impact &amp; Delivery
 </li>
 <li>
 Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
 </li>
 <li>
 Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
 </li>
 <li>
 Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
 </li>
 <li>
 Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
 </li>
 <li>
 Cross-Functional Influence
 </li>
 <li>
 Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
 </li>
 <li>
 Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
 </li>
 <li>
 Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
 </li>
 <li>
 Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
 </li>
 <li>
 Advanced degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Demonstrated ability to translate complex ML concepts into strategic business impact.
 </li>
 <li>
 Strong stakeholder management and communication skills across technical and non-technical domains.
 </li>
 <li>
 Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Director of Data Science

<div><ul><li>Education: A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li>Experience:
<ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li>Technical Skills:
<ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li>Soft Skills:
<ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>
 <div><ul><li>Education: A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li>Experience:
<ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li>Technical Skills:
<ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li>Soft Skills:
<ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>

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