Principal Demographer, Forecasting & Land Use

• Manage and lead the Socioeconomic Modeling Group, including work priorities, schedules, technical direction, staff coordination, and QA/QC.
• Lead long-range population, household, employment, and land-use forecasts at regional, county, TAZ, parcel, and other geographic levels.
• Develop growth allocation methodologies, model assumptions, and alternative development scenarios for regional planning applications.
• Maintain and analyze parcel, building, county appraisal, plat, master-planned community, demographic, economic, and land-use datasets.
• Develop socioeconomic and land-use inputs for travel demand models, Metropolitan Transportation Plans/RTPs, corridor studies, and scenario planning.
• Coordinate forecast assumptions, TAZ structures, and socioeconomic datasets with transportation modelers, GIS staff, planners, consultants, and partner agencies.
• Evaluate relationships among transportation investments, accessibility, development patterns, population, households, and employment.
• Develop and improve regional socioeconomic and land-use forecasting models using Python, GIS, SQL, R, SAS, UrbanSim, or comparable tools.
• Prepare technical documentation, reports, presentations, and clear explanations of complex modeling results for technical and nontechnical audiences.
• Provide technical leadership, mentor staff, and respond to technical and data requests from internal teams and external stakeholders.

• At least five years of related experience in demographic forecasting, socioeconomic forecasting, land-use modeling, regional growth forecasting, transportation planning, or related MPO/DOT forecasting work.
• Experience developing or supporting population, household, employment, or land-use forecasts for MPO, DOT, travel demand modeling, Metropolitan Transportation Plan/RTP, corridor study, scenario planning, or regional planning applications.
• Strong GIS, quantitative analysis, data management, spatial analysis, public-sector data, and technical project leadership skills.
• Experience using Python or similar scripting tools for modeling, automation, QA/QC, debugging, or reproducible analysis.

• Bachelor’s degree in applicable academic discipline or related field of study.  

• 5 years of experience working with local government, nonprofit programs, school or in job related duties. 

• Bachelor's degree in Demography, Urban or Regional Planning, Geography, Economics, Statistics, Data Science, Transportation Planning, Environmental Studies, or a related field.
• Master's degree or PhD in a related field.
• More than 8 years of professional experience with an MPO, state DOT, state or local government, Council of Governments, regional planning agency, university, or public-sector partner organization.
• Experience supporting socioeconomic forecasts for travel demand models, Metropolitan Transportation Plans/RTPs, scenario planning, or corridor studies.
• Experience with parcel-level data, county appraisal data, TAZ-level datasets, UrbanSim or comparable land-use models, SAS/R, GIS, and spatial datasets.
• Experience preparing technical documentation, data dictionaries, QA/QC checks, and presentations for planning or modeling audiences.

Salary  Range: $89,000.00 to $99,000.00

All employees of H-GAC are required to reside within the agency’s region of service to support our commitment to excellence in service of our region.

H-GAC is an equal opportunity/ADA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, or protected veteran status.