Senior Transportation Modeling & Network Planning Expert📣 إعلان

About the Role

Parsons Corporation is seeking a Senior Transportation Modeling & Network Planning Expert to provide senior technical leadership in the analysis of Riyadh’s existing and future transportation network. This full-time position is based in Riyadh and involves applying strategic travel demand models, network-performance data, GIS, and advanced analytics to support the Riyadh City Royal Commission (RCRC) traffic management assessment, corridor planning, congestion management, and infrastructure investment programs.

Role Context and Impact

The expert will collaborate closely with transportation planners, traffic engineers, corridor assessment teams, data analysts, and RCRC stakeholders to translate complex transportation data into clear findings and actionable recommendations. A primary focus will be understanding how population growth, land-use development, giga projects, public transport expansion, and changes to the roadway network will affect traffic demand and network performance across Riyadh. This role bridges citywide strategic planning and corridor-level operational assessment, ensuring proposed traffic management interventions reflect both current operating conditions and Riyadh’s longer-term mobility needs.

Key Responsibilities

• Lead strategic transportation modeling, network planning, and travel-demand analysis for the RCRC Traffic Management program.
• Apply and interpret Riyadh’s strategic travel demand models to assess existing and future travel patterns, network loading, corridor demand, and congestion conditions.
• Drive the semi-annual transportation and traffic-management assessment process, identifying significant shifts in network demand, travel patterns, development activity, and system performance.
• Provide strategic context to corridor assessment teams to distinguish localized traffic problems from broader network or demand-related causes.
• Evaluate roadway, public transport, and multimodal network alternatives for their effect on volumes, route choice, congestion, travel times, and network performance.
• Prioritize congestion-management initiatives by assessing current and forecast demand and identifying where strategic intervention delivers the greatest benefit.
• Assess the transportation impacts of major land-use developments, giga projects, and changes to Riyadh’s urban development pattern.
• Develop and review traffic forecasts and future-year scenarios for major corridors, strategic junctions, and development areas.
• Generate and interpret network performance indicators, including vehicle-kilometers and vehicle-hours traveled, average speeds, travel times, congestion levels, network utilization, and modal shares.
• Use GIS, spatial analysis, and programming tools to interrogate large transportation datasets and visualize demand, congestion patterns, network deficiencies, and proposed interventions.
• Review model assumptions, network coding, zone structures, trip matrices, and land-use inputs, and reconcile model outputs against empirical data.
• Provide independent technical review and quality assurance of modeling, Traffic Impact Studies, and master plans prepared by consultants, developers, or other project teams.
• Work with traffic and civil engineering specialists to translate model findings into corridor, network, and access improvement concepts, and contribute to congestion-management strategies.
• Produce technical reports, executive presentations, maps, and dashboards that communicate network findings to RCRC leadership.
• Represent the modeling function in workshops and coordination meetings; mentor RCRC and project staff in modeling, forecasting, GIS, and data analysis.
• Track emerging practice in activity-based modeling, big-data analytics, AI-assisted forecasting, and GIS to strengthen RCRC planning and assessment capability.

Qualifications and Experience

Candidates should possess 5-10 years of relevant experience and demonstrate the following:

• Ability to convert large, complex transportation datasets into clear technical conclusions and practical recommendations, and to present them credibly to diverse audiences.
• Strong understanding of the relationship between land use, transportation demand, roadway capacity, public transport, network connectivity, and urban growth.
• Ability to critically review models and technical studies prepared by others, identifying assumptions, limitations, and inconsistencies.
• Proven ability to work independently on complex analytical assignments and within multidisciplinary teams spanning transportation planning, traffic engineering, ITS, civil engineering, data analytics, and urban development.
• Extensive experience working in Riyadh, with a strong understanding of the city’s transportation network, urban structure, development patterns, and planning environment.
• Prior experience working directly with RCRC or its predecessor organizations on strategic transportation planning, traffic forecasting, or major transportation studies.
• Detailed familiarity with Riyadh’s strategic traffic forecast models—network structure, zone system, and underlying assumptions—and experience evaluating major Riyadh corridors, road-network alternatives, public transport initiatives, and land-use developments.
• Experience supporting metropolitan transportation master plans, structure plans, and multimodal transport strategies in Saudi Arabia or the wider GCC.
• Strong understanding of how strategic forecasting supports operational traffic management, corridor prioritization, and congestion-management decisions.
• Experience integrating model forecasts with traffic counts, probe-speed data, travel-time information, and other empirical datasets.
• Experience developing transportation performance indicators and analytical outputs suitable for executive-level decision-making.
• Knowledge of emerging approaches such as activity-based models, dynamic assignment, mobility data analytics, AI-assisted forecasting, and integrated land-use/transport modeling.
• Experience providing technical mentoring, training, or knowledge transfer to government transportation-agency staff.

Work Environment

This role is a full-time position based in Riyadh, Saudi Arabia, within Parsons Corporation. The successful candidate will work in an innovative culture that supports professional growth and collaboration across various technical and stakeholder teams.

Application Process

Parsons fosters an innovative culture that empowers individuals to achieve their full potential. We encourage qualified candidates to apply for this opportunity.