Mobility data manager - transport modeling

Job Snapshot Mobility Data Manager - Transport Modeling Role: Mobility Data Manager - Transport Modeling Location: Riyadh, Saudi Arabia Industry: Transportation-Trucking-Railroad Function: Database Administration Experience: Minimum 10 years Job Type: Full-time Parsons is hiring a Mobility Data Manager - Transport Modeling in Riyadh, Saudi Arabia for a major city-development program within the Transportation-Trucking-Railroad industry. The manager will oversee the information supporting mobility governance, transportation policies, strategic models, mapping, and long-term infrastructure planning. The position requires advanced GIS, geodatabase, validation, data-integration, and workflow-automation capability. The successful candidate will create a trusted source of mobility information by consolidating population, employment, land use, infrastructure, and transport-service datasets into consistent digital formats. Job Details Country: Saudi Arabia City: Riyadh Industry: Transportation-Trucking-Railroad Function: Database Administration Salary: 22000-35000 SAR per month Estimated salary range based on similar jobs in Riyadh; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time Role Context Strategic transportation models depend on accurate and mutually consistent data from many development districts and stakeholder organizations. Differences in formats, definitions, boundaries, dates, or assumptions can reduce confidence in model results and lead to weak planning decisions. The Mobility Data Manager will establish a controlled information foundation for mobility analysis. Reliable databases, validation rules, and automated workflows will give planners and decision-makers consistent inputs for forecasting demand, reviewing infrastructure options, and developing governance products. Key Responsibilities Build productive working relationships with program stakeholders across development districts. Define required data inputs, formats, ownership, update cycles, and delivery dates. Collect digital information and structured tabular data from approved sources. Curate, validate, transform, and compile inputs into a common database. Maintain a single source of truth for strategic transportation-model information. Coordinate data contributions to technical documents and model-development activities. Verify that modeling teams receive complete, current, and approved datasets. Reconcile information from multiple sources and identify discrepancies. Investigate differences in values, definitions, classifications, and geographic boundaries. Document assumptions, sources, transformations, and validation results. Manage core datasets covering population and employment. Maintain land-use, development, and spatial-planning information. Coordinate transport-infrastructure and service datasets. Check mutual consistency between demographic, land-use, network, and mobility information. Translate source information into common digital and geospatial formats. Design database structures suitable for strategic transportation models. Maintain geodatabases and support secure, controlled information access. Develop automated workflows for recurring data-processing tasks. Apply quality checks to improve accuracy, completeness, consistency, and traceability. Monitor dataset versions and ensure downstream products use approved information. Create maps, spatial analyses, dashboards, and visualizations for technical documents. Present complex mobility information in clear formats for project stakeholders. Support mobility-governance policies and procedures with reliable data evidence. Prepare data summaries, methodology notes, and technical presentations. Recommend improvements to data architecture, controls, and processing workflows. Ideal Profile Bachelor of Science degree in a relevant discipline. Minimum ten years of data-management experience supporting transport or planning projects. Expert proficiency with GIS applications, system interfaces, and geodatabases. Strong working knowledge of SQL Server and JSON-based information exchange. Experience managing large demographic, land-use, infrastructure, or transport datasets. Ability to automate repeatable data-processing and validation workflows. Experience designing model-data structures and database relationships. Understanding of strategic transport-model input requirements. Strong knowledge of data validation, reconciliation, transformation, and version control. Ability to produce clear maps, diagrams, and technical visualizations. Excellent technical-writing and presentation abilities. Confidence working within culturally diverse and multidisciplinary teams. Ability to establish stakeholder relationships quickly. Previous giga-project experience in Saudi Arabia is advantageous. Skills Set Mobility data management Strategic transport modeling GIS Geodatabases SQL Server JSON Database-structure design Spatial-data management Data curation Data validation Data reconciliation Data transformation Dataset version control Automated data workflows Population datasets Employment datasets Land-use information Transport-infrastructure data Transport-service data Single-source-of-truth governance Model-input coordination Data-quality assurance Map production Spatial visualization Technical documentation Stakeholder data coordination Why Join Us This position provides the opportunity to shape the data foundation behind mobility planning for a large Saudi city-development program. The manager 's work will influence transport models, infrastructure priorities, governance decisions, and how future travel demand is understood. The role offers a strong route toward mobility analytics, transport-model governance, geospatial leadership, and smart-city data positions within Saudi Arabia 's expanding Transportation-Trucking-Railroad market. About the Company Parsons Corporation delivers engineering, planning, digital, and program-management services for major transportation and urban-development programs. Its multidisciplinary teams use reliable data and advanced analysis to support connected, accessible, and sustainable cities. #J-18808-Ljbffr