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data analytics manager

Glow Beauty On Demand

Employment Overview Job Location: Dubai, UAE Industry: Information Technology and Services Function: Program / Project Management Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Oversee end-to-end delivery of data analytics projects, ensuring timely and high-quality implementation * Define project plans, milestones, and deliverables aligned with business objectives * Work closely with engineers, analysts, and business teams to develop data-driven solutions * Manage integration of data sources and ETL processes using tools such as Informatica or Talend * Ensure robust database management across SQL and NoSQL environments * Implement advanced analytics techniques, including predictive modeling and machine learning * Drive visualization initiatives using platforms like Tableau, Power BI, or Looker * Ensure adherence to data security and compliance regulations, including GDPR and CCPA * Prepare status reports and communicate progress to senior stakeholders Ideal Profile * Proven experience in technical project delivery within data analytics or big data environments * Familiarity with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) * Knowledge of data lifecycle management, analytics techniques, and visualization tools * Strong leadership and communication skills for managing cross-functional teams * Understanding of ETL processes and integration frameworks * Awareness of data governance and cybersecurity best practices Preferred Certifications * PMP, PRINCE2, or Certified Scrum Master * AWS Certified Data Analytics - Specialty or Microsoft Azure Data Engineer Associate * Google Data Analytics Certification or equivalent * CBAP or PMI-PBA for business analysis expertise

Data Analytics Project Manager

Shamal LLC

<div>Overview:

Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate. 
As Shamal Holding continues to grow, we&rsquo;re in search of a Senior Manager &ndash; Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
Responsibilities:

Strategic Responsibilities:<ul><li>
Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li><li>
Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li><li>
Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li><li>
Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li><li>
Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li></ul>
 IT Management and Governance:<ul><li>
Helps establish governance structure where decision-making is weighted toward empowered teams.</li><li>
Lead and manage the Data Analytics squads and outcomes.
</li><li>Prepare and monitor IT capital and operational budgets for assigned portfolio.
</li><li>Execute through alignment to the new digital operating model and working with cross&#8208;functional squads orchestrating continuous value delivery through release planning increments.</li><li>
Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li></ul>
IT Operations:
<ul><li>Direct the planning, deployment and management of the data analytics initiatives and services.
</li><li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li><li>
Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li><li>
Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.</li></ul>
Data Architecture:<ul><li>
Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li></ul>
IT Security:
<ul><li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li><li>
Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li></ul>
Data Management:<ul><li>
In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li><li>
Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li></ul>
 People Management Responsibilities:<ul><li>
Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li><li>
Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.</li><li>
Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.</li><li>
MBA or related advanced business degrees, are preferable</li><li>
A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.</li><li>
Experience as a Data Analytics Lead or equivalent position in a global environment.</li><li>
Experience to set and communicate a clear vision, aligning data initiatives with business goals.</li><li>
Proficiency in developing comprehensive data strategies to drive decision-making and innovation.</li><li>
Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.</li><li>
Skill in working with diverse teams and departments to leverage data for organizational improvement.</li><li>
Effective communication of complex insights to non-technical stakeholders.</li><li>
Experience in building and leading high-performing data teams.</li><li>
Understanding of industry trends, competitive landscapes, and business drivers.</li><li>
Ability to identify challenges and design data-driven solutions to address them.</li><li>
Extensive experience in scrum/project management/delivery management or an associated area.</li><li>
An entrepreneurial mindset; able and interested to pursue new business channels and models.</li></ul><div></div> 
For more information about Shamal, please visit our LinkedIn page: https://www.linkedin.com/company/shamalholding/ 
Note:
<div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

Senior Manager - Data & Analytics

Etihad Credit Bureau

<div>
 
 We're seeking an exceptional Model Management to join our Data team!
 
 
 
 
 
 The Model Management supports Principal - Data Analytics in delivering end-to-end data analytics solutions within AECB. This includes ensuring timely and high-quality analysis and the creation of market-level insights. The role is crucial in transforming information into valuable insights that drive business decisions and contribute directly to the growth of the country's economic sector. The incumbent is responsible for building, designing, and prototyping next-generation analytics engines and services, monitor internal Bureau Model on a periodic basis and supports on all Model &amp; Score related Analytical projects. They provide insights to the senior management to facilitate strategic decision-making by leveraging expertise in machine learning, data mining, and predictive intelligence. They lead niche analytics assignments and pilots, assisting customers in achieving their analytical objectives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist the Data Analytics Principal in implementing and closely monitoring the data analytics strategy, roadmap, and implementation plan. Act as a subject matter expert and collaborate with internal and external stakeholders to drive business expansion in the specialized analytics field.
 </li>
 <li>
 Own Bureau Models, develop and maintain model inventory, model remediation tracker, perform regular monitoring activities (in line with the Central Bank guidelines) and support all score-related activities.
 </li>
 <li>
 Manage PoCs from the external partners in close co-ordination with Business, perform Retro scoring for validation purposes.
 </li>
 <li>
 Be an integral member of Model Oversight Panel (MoPa) to present model journey at each model stage, discuss the Model findings and recommend the next steps with clear actionable and timelines.
 </li>
 <li>
 Lead the analysis of any &ldquo;new data source&rdquo; received by the Bureau and its impact on the existing Models and other analytical deliverables.
 </li>
 <li>
 Provide support in end-to-end data analytics activities within the organization. This includes operating and continuously improving data analytics tools and platforms, designing and preparing operational, data quality, and management reports on a periodic basis.
 </li>
 <li>
 Resolve complex problems with large amounts of data in a computationally efficient and statistically effective manner.
 </li>
 <li>
 Assist in generating daily, weekly, monthly, and quarterly data reports that inform decision-making for Heads of Departments and internal committees.
 </li>
 <li>
 Coordinate a team of both internal and external resources involved in daily data analytics activities.
 </li>
 <li>
 Support other Section Managers and Heads of Departments in aligning data analytics initiatives with business objectives and overall corporate goals.
 </li>
 <li>
 Log and address service-desk tickets to resolve internal and external issues related to data analytics and model management.
 </li>
 <li>
 Support and close tickets raised by Customer Experience team on Score Issues, perform the deep-down analysis on the customer issue and resolve them in co-ordination with CX specialists.
 </li>
 <li>
 Lead and assist in developing, monitoring, validating, and enhancing existing credit bureau scores and indicators, such as credit scores for individuals and companies, alternate scores, cheque Score and ECL (PD/EAD/LGD) models leveraging Bureau&rsquo;s developed model monitoring tool &ldquo;Ignite&rdquo;.
 </li>
 <li>
 Create and present to government and regulatory entities (e.g., central bank, DED, SCAD, DCD etc) on score and other analytic capabilities to help develop understanding and build synergies.
 </li>
 <li>
 Manage vendor relationships for analytics deliverables, including testing and validating products/deliverables from vendors. Ensure the highest quality and timely delivery within the allocated budgets, which is a critical responsibility of the team.
 </li>
 <li>
 Conduct market analysis and identify trends to develop benchmarking reports and assess analytics products in the market.
 </li>
 <li>
 Develop analytical tools and technologies for standardized and automated data extraction from databases for algorithms and processes.
 </li>
 <li>
 Bring an "Economist eye" to the implementation of new reports, dashboards, and products, with a specific focus on benchmarking reports.
 </li>
 <li>
 Manage and ensure timely delivery of all enhancements related to data analytics tools and platforms. This involves managing the end-to-end project lifecycle, liaising with the Project Management Office (PMO) function, and coordinating accurate implementation, system testing, and user acceptance testing (UAT).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Education specialization or master&rsquo;s degree in Statistics, Economics, or related field
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Proficient in Arabic (preferred)
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum experience of 4-6 years in data analytics &amp; Model Management role
 </li>
 <li>
 Hands-on track experience in executing data strategies and delivering results
 </li>
 <li>
 Knowledge in credit bureau, information services or technology-driven industries
 </li>
 <li>
 Expertise in developing credit risk scorecards and risk strategies using statistical and AI/ ML based techniques
 </li>
 <li>
 Knowledge of reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS) (R, Python, PySpark)
 </li>
 <li>
 Experience with Bl tools and reporting software (e.g., MicroStrategy, Tableau, Pentaho, MS Power Bl, MS Excel)
 </li>
 <li>
 Able to deal with varied tasks and to work under pressure to meet deadlines and targets
 </li>
 <li>
 Able to work effectively and responsibly without close supervision
 </li>
 <li>
 Demonstrates critical thinking and problem-solving capabilities
 </li>
 <li>
 Demonstrates strong Ethical &amp; Professional values
 </li>
 <li>
 Able to foster a culture of collaboration, innovation, transparency, accountability, and flexibility
 </li>
 <li>
 Able to execute clear strategies and corporate requirements
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunities for continuous learning, certifications, and professional development.
 </li>
 <li>
 Dedicated to building a diverse and inclusive workplace where everyone feels valued and empowered to be their authentic selves.
 </li>
 <li>
 Committed to building a stable, forward-thinking organization where innovation thrives.
 </li>
 </ul>
</div>

Model Management

Easa Saleh Al Gurg Group LLC

1. Delivery Management - Own the planning, execution, and delivery of data lake and analytics projects across business units. - Drive the build and maintenance of robust data ingestion, transformation, and consumption pipelines. - Monitor delivery timelines, risks, and budgets to ensure successful project outcomes. - Apply Agile/DevOps practices for faster and more reliable releases. 2. Data Lake & Platform Execution - Manage integration of structured and unstructured data into the enterprise data lake. - Ensure scalability, performance, and cost optimization of cloud-based data platforms (AWS, Azure, GCP, or hybrid). - Oversee implementation of data warehousing and BI tools (Snowflake, Redshift, Synapse, BigQuery, etc.). 3. Analytics Enablement- Deliver reporting, dashboards, and self-service analytics capabilities for business users. - Partner with data scientists and analysts to operationalize advanced analytics and ML models. - Ensure solutions meet business KPIs and enable measurable outcomes. 4. Governance & Quality - Implement data quality checks, monitoring, and remediation processes. - Enforce governance policies including data privacy, compliance, and security. - Maintain metadata management and data cataloging practices. 5. Team & Vendor Management - Lead and mentor data engineering and analytics delivery teams. - Manage vendor and partner engagements to ensure delivery commitments are met. - Allocate resources effectively across multiple programs.

Data Lake & Analytics Delivery Head

Whiteshield

<div>Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
Role Overview
As a Data Science Manager, you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You&rsquo;ll manage end-to-end data workflows &mdash; from ideation to delivery &mdash; and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.
Key Responsibilities<ul>
<li>
Lead data-driven projects across public policy and economic domains.</li>
<li>Design, automate, and optimize data pipelines and analytical workflows.</li>
<li>Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.</li>
<li>Develop and maintain interactive dashboards, ranking systems, and predictive models.</li>
<li>Translate technical results into clear, actionable policy recommendations.</li>
<li>Mentor junior data scientists and oversee code quality, documentation, and best practices.</li>
</ul>
Requirements
Masters degree in Computer Science or Data Science
Proven experience leading data projects or small teams
5+ years experience with Python
5+ years experience with SQL
5+ years experience with APIs
Experience with machine learning or predictive modelling
Experience building data pipelines or ETL processes
Experience with data visualization (Power BI, Tableau, or similar)
Excellent English communication skills
Nice-to-haves:
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
Experience with economic or policy-related datasets
Experience working in consulting or public sector projects
Knowledge of cloud platforms (AWS, GCP, or Azure)
Familiarity with TensorFlow or PyTorch
Master&rsquo;s degree in Data Science, Economics, or related field
Benefits<ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

Data Science Manager - AI Economics Unit (UAE-based)

Novo Nordisk

<div>
 At the intersection of data and strategy lies the power to transform healthcare.
 
 
 In a dynamic market like the UAE, business analytics is more than numbers&mdash;it&rsquo;s about uncovering patterns, anticipating needs, and shaping impactful decisions. This role is designed for those who see beyond dashboards, who connect insights to action, and who elevate customer excellence through innovation and collaboration.
 
 
 If you're driven by curiosity, inspired by complexity, and motivated to challenge the status quo, this is where your mindset meets purpose.
 
 
 
 Your new role
 
 
 
 As Business Insights and CRM Manager, you will lead the development and execution of business intelligence and CRM strategies for the UAE affiliate. You will play a key role in enabling data-driven decision-making and enhancing customer engagement through advanced analytics and cross-functional collaboration.
 
 
 In addition, you will:
 
 
 
 <ul>
 <li>
 Develop a centralized insights hub to address key business questions and future needs.
 </li>
 <li>
 Drive innovation in analytics, including AI-enabled tools and machine learning models.
 </li>
 <li>
 Own and execute the UAE Business Insights strategy and roadmap in collaboration with local and regional stakeholders.
 </li>
 <li>
 Assess data maturity and adoption levels and co-create action plans with affiliates to elevate BI capabilities.
 </li>
 <li>
 Provide data-driven recommendations to the UAE Leadership Team on commercial performance and KPIs.
 </li>
 <li>
 Align customer strategy with commercial goals to enhance engagement and portfolio uptake.
 </li>
 <li>
 Monitor competitor performance and ensure an outward-looking approach to benchmarking.
 
 
 
 
 </li>
 </ul>
 
 Your new department
 
 
 
 You will be joining the UAE affiliate, where we are dedicated to delivering innovative solutions and making a meaningful impact. The UAE affiliate is a dynamic and collaborative environment that values innovation, teamwork, and excellence. Located in the vibrant and fast-paced UAE, you will have the opportunity to work closely with a diverse team of professionals, contributing to the success of our organisation and making a difference in the lives of patients.
 
 
 
 Your Skills And Qualifications
 
 
 
 To be successful for this position, you have a Msc in Business Administration, Economics, Statistics or any relevant field, coupled with a minimum of 5 years of experience in driving business insights and CRM strategy and execution, ideally within pharmaceutical industry. You have proven ability to connect the dots across data sources and business needs, translating insights into strategic actions.
 
 
 Furthermore, you have:
 
 
 
 <ul>
 <li>
 Strong analytical skills and hands-on experience with dashboards and data visualization tools (e.g., PowerBI, Tableau)
 </li>
 <li>
 Proactive and solution-oriented mindset, with a passion for challenging the status quo and thinking beyond conventional approaches
 </li>
 <li>
 Strong communication and stakeholder management skills, with the ability to influence and drive adoption
 </li>
 <li>
 Comfortable working in a dynamic, cross-functional environment and proposing innovative solutions
 </li>
 <li>
 Fluent English both written and spoken
 
 
 
 
 </li>
 </ul>
 
 Working at Novo Nordisk
 
 
 
 At Novo Nordisk, collaboration and innovation drive everything we do. Every day we work to find solutions that defeat serious chronic diseases. For over 100 years, this unordinary mindset has seen us build a company like no other&mdash;where mutual respect, curiosity, and determination make extraordinary results possible.
 
 
 
 What We Offer
 
 
 
 In addition to a unique and supportive culture, Novo Nordisk offers strong learning and development opportunities tailored to your career and life stage. Our benefits re-flect our commitment to empowering employees to reach their full potential while achieving work-life balance.
 
 
 
 More information
 
 
 
 To submit your application, please upload your CV in English (click on Apply and follow the instructions).
 
 
 
 Deadline
 
 
 
 Apply by 18th November.
 
 
 Novo Nordisk is not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.
</div>

Business Insights and CRM Manager

careem

Careem s mission includes simplifying and improving the lives of people across our region and Care plays a vital role in making that mission real. As part of the Care Analytics, Automation, and Project Management team, you ll use data and technology to enhance how we serve our customers, captains, and partners. From supporting building automation that reduces effort, to driving analytics that uncover experience gaps, you ll help shape systems that create impact across the region.
This is a hands-on role within Care where you ll program manage automation solutions , deliver data-driven insights, and manage impactful projects. In this hands-on position you ll manage data-led and AI-powered initiatives in Care, support in automating workflows, optimizing performance, getting in-depth data analytics and managing projects that transform how we serve our users, alongside a talented team that s driving meaningful change.
What you ll do
<ul>
<li>Program manage the end-to-end automation program roadmap for Careem Care: including but not limited to self-service flows, AI-driven triage, proactive notifications, and escalation automation</li>
<li>Partner with business and care leads across verticals (Food, Quik, Pay, etc.) to analyze contact drivers, disposition trends, and pain points to identify automation and process improvement opportunities.</li>
<li>Collaborate with Care and org-wide Engineering, Product, verticals, data science, and Operations to program manage and support roll out AI-enabled solutions that enhance care efficiency and quality of delivery</li>
<li>Drive change management to ensure successful adoption of automation tools across Careem s regional care teams.</li>
<li>Support building care strategy across verticals , closely liaising with functional teams</li>
<li>Lead cross-functional projects, managing dependencies, timelines, and risks while maintaining strong stakeholder communication.</li>
<li>Localize and roll out solutions tailored and compliant to each market (UAE, Jordan, KSA)</li>
<li>Explore and pilot emerging AI/ML technologies (e.g., NLP, conversational AI, RPA) to enhance Careem s automation capabilities.</li>
<li>Build clear documentation of systems, workflows, and success metrics to support scalability and transparency.</li>
<li>Work with real-world data and translate it into features, signals, and insights</li>
<li>Improve the way we serve and monitor machine learning models</li>
<li>Contribute to a strong team culture of learning, iteration, and accountability</li>
<li>Track performance metrics (contact rate, deflection rate, NPS/CSAT, automation accuracy, FCR) and provide insights and recommendations for continuous improvement</li>
<li>Translate insights into data-backed actions in coordination with the respective teams</li>
<li>Champion a Care-First Automation culture leveraging technology to elevate the customer experience, not just reduce costs.</li>
</ul>

Senior Automation & AI Manager

Explore 6958+ Data analytics manager in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.