Description
Summary
The San Francisco County Transportation Authority plans, funds, and delivers transportation projects to improve travel choices for residents, commuters, and visitors throughout San Francisco. The agency is a locus of transportation planning and policy innovation, serving as the designated county Congestion Management Agency (CMA) for San Francisco and the administrator of San Francisco’s transportation sales tax and other voter-approved funding programs.
The Deputy Director for Technology, Data, and Analysis (TDA) directs all activities related to technology and transportation data analysis within the Transportation Authority, including transportation modeling, data organization and analysis, Geographic Information Systems (GIS), and general information technology support and systems planning.
The Technology, Data, and Analysis Division (TD&A) applies transportation analysis tools, modeling systems, and expertise to support plans, studies and research led by the Transportation Authority. These efforts develop insights to inform transportation planning and investment decisions as well as support policy development on topics of interest to the Transportation Authority Board. The division also supports other city agencies and external entities with travel forecasting and analysis needs through TDA’s model service bureau.
Examples of the Transportation Authority’s Technology, Data, and Analysis Division’s prior work include:
- San Francisco Transportation Plan (SFTP) and Plan Bay Area (support)
- Regional and San Francisco Household Travel Survey
- Downtown San Francisco Travel Study
- San Francisco Congestion Management Program Update
- SF CHAMP Activity-based Travel Demand Model
- TNCs Today and TNCs 2020: A Profile of Ridehail in California
- Testimony at CA Legislature Hearings on Ridehail and AV topics/bills
- Autonomous Vehicle Conceptual Safety Permitting Framework
Please visit https://www.sfcta.org/deputy-director-technology-data-and-analysis for detailed description.
Requirements
Minimum Qualifications
Advanced knowledge of principles, techniques and methods of transportation planning; activity- based travel model concepts and structures; intensive computer system administration and maintenance; environmental impact assessment process per California Environmental Quality Act guidelines; computer programming in Python and C++ languages; travel forecasting software; ArcGIS and open GIS platforms. Advanced understanding of data analysis techniques, and data management principles. Advanced knowledge of program and project management principles and techniques used in leading and supporting multiple information technology programs and projects.
Training and Experience
Completion of a graduate degree in an appropriate discipline such as transportation planning, civil engineering, computer science, information systems, geography, or related field is required. Eight (8) years of progressively responsible experience in transportation planning, travel demand forecasting, or GIS analysis for transportation planning purposes, with at least three (3) years in a management role. Applicants may substitute completion of a graduate degree with two (2) years of additional qualifying experience.
