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Data & Analytics Manager

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Onsite

Data & Analytics Manager

Client of AIQU

Data & Analytics Manager

Skills

SQL QueriesData EngineeringMobile DevelopmentData AnalysisAICRMSalesforceSAP ERPCompliancePower BIAzure

2 months ago

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Important information


Location:

United Arab Emirates

Work mode:

Onsite

Published on:

10 August 2026

What they need


About the Role: The Data & Analytics Manager will be responsible for establishing and leading the Enterprise Data & Analytics function across the Group. The role will define and execute the data strategy, governance framework, enterprise reporting capabilities, and analytics roadmap while enabling Customer 360, Vehicle 360, executive dashboards, and future AI-driven initiatives. The role will work closely with business stakeholders and technology partners to build a scalable enterprise data platform integrating SAP, Proaxia, Salesforce, Genesys, DMS, websites, mobile applications, and other digital systems.

Experience 8 12 years of experience in Data & Analytics, BI, Data Engineering, or Enterprise Data Management. Experience implementing Enterprise Data Lake and Data Warehouse solutions. Experience with SAP, Salesforce, CRM, ERP, and enterprise integration platforms. Experience managing external vendors and implementation partners. Experience delivering executive dashboards and enterprise reporting programs.

Technical Skills

  • Power BI
  • SQL
  • Azure Data Lake
  • Azure Data Factory
  • Microsoft Fabric (preferred)
  • Data Warehousing
  • ETL / ELT
  • Data Governance
  • Master Data Management

Key Responsibilities

Data Strategy & Roadmap

  • Develop and maintain the Enterprise Data & Analytics Strategy.
  • Define the multi-year Data & AI roadmap aligned with business objectives.
  • Establish data governance, quality, security, and compliance frameworks.
  • Define enterprise KPIs and reporting standards.

Data Platform & Architecture

  • Lead the design and implementation of the Enterprise Data Lake and Data Warehouse.
  • Define integration standards across SAP, Proaxia, Salesforce, Genesys, DMS, and digital platforms.
  • Collaborate with internal and external partners on data architecture and integration initiatives.
  • Ensure scalability and future AI readiness of the data platform.

Business Intelligence & Reporting

  • Establish executive and operational dashboards.
  • Implement enterprise reporting standards and self-service analytics capabilities.
  • Deliver real-time insights and performance reporting across all business units.
  • Drive adoption of analytics across the organization.

Data Governance & Quality

  • Define data ownership and stewardship models.
  • Establish data quality controls and monitoring processes.
  • Ensure compliance with data management policies and standards.
  • Lead master data management initiatives.

Analytics & AI Enablement

  • Drive Customer 360 and Vehicle 360 initiatives.
  • Identify and prioritize analytics and AI use cases.
  • Support predictive analytics, forecasting, customer insights, and automation initiatives.
  • Establish the foundation for AI-driven decision-making.

Stakeholder & Vendor Management

  • Act as the primary point of contact for all Data & Analytics initiatives.
  • Manage external consulting and implementation partners.
  • Collaborate with business leaders to translate business requirements into data solutions.
  • Present progress, risks, and insights to senior leadership and executive management.

Position Details

Position Title: Data & Analytics Manager

Location: United Arab Emirates, United Arab Emirates

Industry: Information Technology (IT) / Software

Experience Required: 8+ years'

Desired Candidate Profile

  • 8 12 years of experience in Data & Analytics, BI, Data Engineering, or Enterprise Data Management.
  • Experience implementing Enterprise Data Lake and Data Warehouse solutions.
  • Experience with SAP, Salesforce, CRM, ERP, and enterprise integration platforms.
  • Experience managing external vendors and implementation partners.
  • Experience delivering executive dashboards and enterprise reporting programs.
  • Power BI
  • SQL
  • Azure Data Lake
  • Azure Data Factory
  • Microsoft Fabric (preferred)
  • Data Warehousing
  • ETL / ELT
  • Data Governance
  • Master Data Management

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