A leading organisation in Dubai, UAE is seeking an experienced Lead — Mobility Analytics and Foresight (Head, Advanced Insights) to lead advanced analytics and insights initiatives — transforming business, operational, commercial, financial, and mobility data into actionable insights that support strategic decision-making and business performance. This senior leadership role requires 9–11 years of experience in advanced analytics, predictive modelling, or data science — leading the organisation’s Advanced Analytics, Insights, and ML/AI use-case roadmap; overseeing fleet optimization, fuel efficiency, predictive maintenance, route efficiency, and capacity planning analytics; building executive dashboards; driving scenario planning and foresight analysis; and developing and managing a high-performing Advanced Insights team in Dubai.
About This Lead Mobility Analytics & Foresight Opportunity — Dubai UAE
Role: Lead / Head — Mobility Analytics and Foresight, Advanced Insights — a senior analytics leadership position transforming business, operational, commercial, financial, and mobility data into strategic insights
Analytical Scope: Predictive analytics, forecasting models, optimization models, scenario simulations, fleet optimization, fuel efficiency, predictive maintenance, route efficiency, capacity planning, and foresight analysis
Leadership Scope: Lead and develop the Advanced Insights and Analytics team — setting objectives, managing the analytics use-case portfolio, and championing data-driven decision-making across senior stakeholders
Strategic Scope: Strategic planning support through foresight analysis, scenario planning, future trend assessment, and emerging analytics benchmarking — acting as strategic advisor to senior leadership on data-driven decisions
Why This Lead Mobility Analytics Role Stands Out
Mobility & Fleet Analytics Authority: Lead analytics initiatives across fleet optimization, fuel efficiency, predictive maintenance, route efficiency, and capacity planning — one of the most operationally impactful advanced analytics scopes available in Dubai’s mobility and transportation sector
ML/AI Use-Case Roadmap Ownership: Define, lead, and maintain the organisation’s entire Advanced Analytics and ML/AI use-case roadmap — shaping how data science and artificial intelligence are applied to strategic and operational priorities at the highest organisational level
Foresight & Scenario Planning: Support strategic planning through foresight analysis, scenario simulations, and future trend assessment — contributing to the long-range strategic thinking of a Dubai organisation navigating a rapidly evolving mobility landscape
C-Suite Strategic Advisor: Act as strategic advisor to senior leadership on data-driven decision-making — presenting executive dashboards, analytical insights, and strategic recommendations directly to the organisation’s most senior decision-makers
Position Overview
This Lead — Mobility Analytics and Foresight (Head, Advanced Insights) in Dubai leads and maintains the organisation’s Advanced Analytics, Insights, and ML/AI use-case roadmap aligned with strategic and business priorities — identifying and prioritising high-value analytics use cases based on business impact, operational efficiency, and customer value. The role leads development of predictive analytics, forecasting models, optimization models, and scenario simulations; oversees analytics supporting fleet optimization, fuel efficiency, predictive maintenance, route efficiency, and capacity planning; manages the analytics portfolio; leads data visualization and executive dashboard development; evaluates analytics use-case feasibility; partners with IT and Digital teams; establishes analytics methodologies and standards; leads and coaches the Advanced Insights team; supports foresight analysis and scenario planning; and acts as strategic advisor to senior leadership on data-driven decision-making across the organisation.
Why This Role Matters: As Lead for Mobility Analytics and Foresight in Dubai, you are the analytical intelligence that transforms raw operational, commercial, and mobility data into the strategic clarity that senior leadership needs to make decisions confidently in a fast-moving, capital-intensive mobility environment. When your predictive maintenance model correctly identifies a fleet asset approaching failure two weeks before the maintenance team’s scheduled inspection, saving both the unplanned downtime and the emergency repair cost, your route efficiency optimization reduces average trip time and fuel burn across the operational fleet without the intuition-based adjustments that were previously the only tool available, or your scenario simulation gives the leadership team a quantified view of three strategic options with explicit assumptions and uncertainty bounds rather than a qualitative narrative — you are not leading an analytics department. You are building the decision-making infrastructure of a mobility organisation that operates more intelligently, more efficiently, and more sustainably because of the analytical capability you create and lead.
Key Responsibilities
ML/AI Use-Case Roadmap, Portfolio Management & Strategic Analytics Leadership
- Lead and maintain the organisation’s Advanced Analytics, Insights, and ML/AI use-cases roadmap — aligned with strategic and business priorities, ensuring the analytics programme addresses the highest-value analytical opportunities across business, operational, commercial, financial, and mobility data domains
- Identify and prioritise high-value analytics use cases based on business impact, operational efficiency, and customer value — evaluating feasibility including data availability, scalability, resource requirements, and expected business value before committing to development
- Manage the analytics use-case portfolio — including prioritisation, progress tracking, delivery management, risk oversight, and stakeholder communication across all active and planned analytics initiatives
- Establish and promote analytics methodologies, standards, and best practices — ensuring analytics outputs are explainable, practical, scalable, and adopted by business stakeholders across the organisation
Predictive Analytics, Fleet Optimization & Mobility Intelligence
- Lead the development of predictive analytics, forecasting models, optimization models, and scenario simulations — applying ML, AI, and statistical modelling to business and operational challenges that generate measurable improvements in fleet performance, cost efficiency, and customer experience
- Oversee analytics initiatives supporting fleet optimization, fuel efficiency, predictive maintenance, route efficiency, and capacity planning — directing the development of operational intelligence solutions that make the organisation’s mobility assets perform more efficiently and reliably
- Oversee data analysis to identify trends, correlations, anomalies, patterns, and business opportunities — ensuring the analytical team consistently surfaces the insights that matter most to operational and strategic decision-makers
- Evaluate new datasets, modelling approaches, and machine learning techniques — leading research and benchmarking to identify emerging analytics, mobility, and foresight opportunities that can enhance the organisation’s competitive and operational position
Foresight, Scenario Planning & Executive Decision Support
- Support strategic planning through foresight analysis, scenario planning, and future trend assessment — providing the senior leadership team with quantified, evidence-based views of strategic options, market evolution, and mobility industry developments
- Lead the development of effective data visualisation and executive dashboards — communicating complex analytical insights clearly and accessibly to senior stakeholders who require decision-enabling intelligence, not raw analytical outputs
- Act as a strategic advisor to senior stakeholders on data-driven decision-making and advanced analytics — translating analytical capability into organisational decision quality improvement at the most consequential level
- Partner with IT and Digital teams to support data availability, model deployment, and implementation of analytics solutions — ensuring analytical models move from research through to operational deployment that delivers real business value
Team Leadership, Coaching & Governance
- Lead, coach, and develop the Advanced Insights and Analytics team — setting clear objectives, building individual capability, supporting professional growth, and fostering a culture of analytical rigour, curiosity, and continuous improvement
- Ensure the quality, accuracy, and performance of analytical models and insights — maintaining the standard of analytical output that business stakeholders can trust for high-stakes operational and strategic decisions
- Manage risks related to data, information, technology, and analytics initiatives — ensuring appropriate controls are in place and compliance with relevant policies, governance requirements, and data-related standards across all analytics activities
- Monitor the effectiveness and business impact of analytics products — continuously identifying opportunities to improve model performance, expand use-case coverage, and increase the commercial and operational value delivered by the Advanced Insights function
Qualifications & Experience
Essential Requirements
- Bachelor’s or Master’s degree in Business/Data Analytics, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a related quantitative discipline
- 9–11 years of relevant experience in advanced analytics, data analytics, predictive modelling, statistical modelling, or a closely related analytical field — at a senior individual contributor or leadership level
- Strong knowledge of predictive analytics, forecasting, optimization modelling, and data visualisation — with proven experience delivering analytics solutions that generate measurable business impact
- Strong leadership, strategic thinking, and stakeholder management skills — with the ability to lead high-performing analytics teams, influence senior decision-makers, and translate analytical capability into organisational performance improvement
- Excellent communication skills in English and/or Arabic — for executive-level stakeholder engagement, team leadership, and cross-functional collaboration
About This Opportunity — Mobility Intelligence at Strategic Scale
This Lead — Mobility Analytics and Foresight position in Dubai offers an experienced analytics leader the opportunity to build, lead, and shape the Advanced Insights function of a significant Dubai mobility organisation — defining the ML/AI use-case roadmap, overseeing fleet and operational analytics that improve performance and reduce costs across the operational fleet, delivering executive dashboards and strategic foresight that inform the organisation’s most consequential decisions, and developing a high-performing analytics team. With 9–11 years of advanced analytics leadership experience required and the breadth to span predictive modelling, scenario planning, foresight analysis, team development, and C-suite advisory — this is one of the most intellectually comprehensive and strategically impactful analytics leadership roles available in Dubai’s rapidly growing mobility and smart transportation sector in 2026.
Career Excellence: Lead mobility analytics, ML/AI use-case roadmap, fleet optimization, and strategic foresight — Head Advanced Insights, Dubai UAE 9–11 years.
Who Should Apply?
- Head of Analytics / Advanced Insights Leaders — Mobility & Transportation: With 9–11 years of advanced analytics leadership experience — predictive modelling, ML/AI use-case roadmap management, and team leadership in mobility, transportation, logistics, or operationally complex industries
- Fleet & Operations Analytics Specialists — Predictive Maintenance & Optimization: With deep experience developing fleet optimization, fuel efficiency, predictive maintenance, route analytics, and capacity planning models — delivering measurable operational improvements through data-driven insights
- Foresight & Scenario Planning Analysts — Strategic Decision Support: With experience supporting senior leadership through quantified foresight analysis, scenario simulation, and strategic trend assessment — translating complex analytical scenarios into executive-accessible strategic intelligence
- ML/AI Analytics Programme Leaders — UAE & GCC: With demonstrated success leading ML and AI analytics programmes at organisational scale — defining use-case roadmaps, managing portfolio delivery, building team capability, and establishing governance and methodology standards
- Dubai-Based Senior Data Science Leaders — Mobility & Smart Cities: Seeking a Head-level analytics leadership role at a Dubai mobility organisation — combining predictive analytics technical depth, team leadership capability, and executive stakeholder management to build and lead one of Dubai’s most consequential mobility analytics functions
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