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Manager Data and Analytics Holding Community Management

Job in Dubai, UAE/Dubai
Listing for: Dubai Holding
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 280000 - 420000 AED Yearly AED 280000.00 420000.00 YEAR
Job Description & How to Apply Below

About Dubai Holding Community Management:

Dubai Community Management (DCM) is a premium community management services provider under the umbrella of Dubai Holding. Established in 2021, DCM has quickly become a leader in the industry, offering exceptional services to maintain and enhance residential communities and districts across Dubai.
At DCM, we believe in creating sustainable and vibrant communities that offer a sense of belonging to residents. Our team of experts provides various services, including community and district management, technical management, and financial management.
Our community and district management services ensure that each community is well-maintained, secure, and operates efficiently. We manage common areas, enforce community rules and regulations, coordinate with local authorities, and respond to residents' concerns promptly and effectively
We proudly manage a portfolio of prestigious communities, including Bluewaters, City Walk, Port de La Mer, Bvlgari Residences, Jumeirah Beach Residence (J ), and Business Bay Executive Towers, among others. Additionally, we manage iconic districts, including Business Bay, Dubai Land Residences, Jaddaf Waterfront, Dubai Media City, Dubai Internet City, Dubai Studio City, Dubai Harbour, and more.

About the Job:

An opportunity has arisen for a Manager Data & Analytics to join Dubai Holding Community Management. The main duties and responsibilities of this role include:

Strategic Leadership and Innovation (Applications & Innovations Focus):
  • Data Strategy &

    Roadmap:

    Define and champion the organizational Data & Analytics strategy, ensuring alignment with the overall IT & Digitalization roadmap and the Associate Director’s innovation mandates
  • Product Development:
    Lead the team in treating data and analytical outputs as products, ensuring they are scalable, reliable, and integrated directly into business applications (e.g., embedding predictive models into CRM, optimizing operational workflows)
  • Team Management:
    Recruit, mentor, and manage a high-performing team of Data Engineers, Data Analysts, and BI Developers, fostering a culture of innovation, data literacy, and technical excellence
  • Technology Scouting:
    Proactively evaluate and recommend emerging technologies (AI/ML platforms, new data visualization tools, cloud services) that can enhance the speed and impact of analytical insights
Data Architecture and Engineering Oversight:
  • Modern Data Stack:
    Oversee the architecture, design, and continuous optimization of the cloud-based data platform (Data Warehouse, Data Lake), ensuring scalability, performance, and cost efficiency
  • Data Pipelines (ETL/ELT):
    Direct the development and maintenance of robust, high-quality data ingestion and transformation pipelines to integrate data from diverse source systems (ERP, CRM, operational databases) into the centralized warehouse
  • Data Modelling:
    Establish best practices for dimensional modelling (e.g., Kimball methodology) and data marts to ensure data is optimized for efficient reporting, analysis, and application consumption
  • Governance & Quality:
    Partner with the IT Governance team to establish and enforce data quality standards, meta-data management, lineage tracking, and compliance (e.g., PII, regulatory requirements)
Business Intelligence and Analytical Enablement:
  • BI Platform Management:
    Own the corporate Business Intelligence platform (e.g., Tableau, Power BI, Looker), managing user access, deployment, and performance optimization
  • Analytical Consulting:
    Serve as a strategic partner to key business units (e.g., Marketing, Operations, Finance), translating complex business questions into clear analytical requirements and defining success metrics
  • Self-Service Enablement:
    Drive the adoption of self-service BI capabilities across the organization through training, development of certified data sources, and promoting data literacy
  • Advanced Analytics:
    Oversee projects involving statistical analysis, machine learning (ML) model development, and implementation, ensuring results are communicated clearly and effectively to non-technical stakeholders
About You:

The ideal candidate for this position will have the following…

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