Vice President – Business Intelligence and Analytics

Role Overview

Vice President – Business Intelligence and Analytics at Aldar Properties. This is a senior, hands-on leadership role responsible for designing, building, and scaling the organization's Business Intelligence and analytics capabilities.

Role Purpose

Design, build, and scale enterprise Business Intelligence and analytics capabilities. Deliver executive-grade dashboards for C-suite leadership while enabling organization-wide self-service analytics through robust data models, governance, and BI best practices. Lead and mentor a BI development team to deliver consistent, high-quality analytics across the organization.

Key Responsibilities

Dashboard Development and Optimization

• Design, build, and maintain high-impact, interactive Tableau dashboards for C-suite executives and senior leadership.
• Actively optimize performance, usability, and scalability of all business intelligence dashboards and reporting.
• Ensure dashboards and reports are trusted, explainable, and aligned with enterprise definitions.
• Personally develop Tableau dashboards used by senior leadership.

Self-Service Analytics and Governance

• Architect and roll out self-service BI capabilities, including governed datasets, certified data sources, and reusable semantic layers.
• Define BI standards, templates, and best practices that empower business users while maintaining governance and data quality.
• Build and manage enterprise semantic layers and governed metric frameworks.
• Act as a technical authority for BI platforms, influencing architecture, best practices, and enterprise-wide metrics.

Data Modeling and Analytics Engineering

• Design and maintain advanced analytical data models (star, snowflake, and hybrid models) optimized for BI consumption.
• Define semantic and data modeling layers that power trusted insights.
• Write advanced SQL and Python to support complex transformations, calculations, and analytical logic.

Team Leadership and Development

• Lead, advise, and mentor junior BI developers, providing hands-on guidance, technical coaching, and regular feedback.
• Establish development standards, code review practices, and dashboard design guidelines for the BI team.
• Remain actively involved in dashboard development while leading the team.

Adoption and Analytics Literacy

• Drive BI adoption and analytics literacy across business functions.
• Facilitate exceptional stakeholder engagement, including direct interaction with executives.

Qualifications & Experience

• 8+ years of hands-on experience in Business Intelligence, analytics engineering, or data analytics roles.
• Proven experience delivering executive-level dashboards for CxOs and senior leadership, with a focus on clarity, storytelling, and decision support.
• Demonstrated success rolling out self-service BI capabilities at enterprise scale, including governed datasets, certified metrics, and semantic layers.
• Deep expertise with Tableau (Desktop, Server/Cloud), including advanced dashboard design, performance tuning, and scalable deployment.
• Strong experience designing and maintaining analytical and dimensional data models (star, snowflake, hybrid).
• Hands-on experience leading, mentoring, or acting as a technical authority for BI teams, while remaining actively involved in dashboard development.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Master's degree and/or BI/analytics certifications (Tableau, data modelling, analytics engineering) are a plus.

Skills & Competencies

• Expert-level Tableau skills, including advanced calculations, parameters, LOD expressions, and dashboard performance optimization.
• Advanced SQL for analytics, metric logic, and complex transformations.
• Strong Python skills for data preparation, advanced analytics, and BI automation.
• Deep understanding of dimensional modelling and analytics engineering principles.
• Familiarity with modern analytics workflows, including version control for BI assets and CI/CD for analytics.
• Strong focus on data trust, explainability, and governance, ensuring consistent definitions across dashboards.
• Exceptional stakeholder engagement skills, including direct interaction with executives.