Recruitment #191031-8884FE-001
Location |
Newington, CT
|
---|---|
Date Opened | 11/1/2019 12:00:00 AM |
Salary | $88,651 - $124,066/year |
Job Type | Open to Agency Employees |
Close Date | 11/8/2019 11:59:00 PM |
The State of Connecticut Department of Transportation (DOT) invites its qualified agency employees to apply for the position of Transportation Supervising Planner in the Bureau of Policy and Planning, Division of Roadway Information Systems, Roadway Data Development and Modelling section in Newington, Connecticut. The Transportation Supervising Planner is responsible for supervising a newly identified section whose role will be to apply new technologies for data development as well as GIS services to identified stewards of critical Department data to support the Transportation Enterprise Data (TED) initiative. TED is a aggregation of the Department’s authoritative data that is managed by the various Bureau’s stewards and is made available across the agency for consumption. This unit will incorporate LRS data integration, data collection application development, data visualization, querying and reporting capabilities, web mapping and geospatial data analysis support. A key mission of this unit will be the continued exploration of technologies, existing and new that can be used to integrate, supplement, and enhance, the Department’s previously disparate datasets and enable consumption and reporting to meet various Federal requirements such as MIRE, HPMS, Asset Management and Highway Safety.
Technologies that will be used by this section for data development and modeling include:
MAVRIC - (Mobile Asset Verification and Roadway Inventory Collection), which provides easy to use GPS-enabled data collection utilizing the Department’s authoritative Linear Referencing System (LRS),
EXOR – The Department’s authoritative Linear Referencing System, which stores many of the Department’s roadway characteristic Data that will be used by this section, as well as other Departmental data needing to be modeled, that can reside with the LRS.
FME – Software that streamlines the translation of spatial data between geometric and digital formats and aids in reporting and developing data quality assurance/control procedures. FME is utilized in the Extract, Transform, & Load (ETL) process to integrate various authoritative data of differing formats and type into a single platform for data sharing and display.
MAPILLARY – Collaborative image hosting platform for geotagged street-level imagery and map data that scales and automates mapping using collaboration, 360 degree cameras and computer vision.
ESRI – Geographic Information System (GIS) –is a system/framework designed to capture, store, edit, manipulate, analyze, manage, and visualize geographic data. GIS allows for the integration of many types of data around the Department, including; asset data, financial data, project data, safety data, roadway characteristic data, and others. It facilitates analysis of attributes and locations and organizes layers of information into visualizations using mapping applications.
In order to be considered for this job opening, you must be a current State of CT employee of the Department of Transportation, who has permanent state status*, and meet the Minimum and Preferred Qualifications as listed on the job opening. You must specify your qualifications on your application.
*For employees in the classified service, permanent status is obtained after successful completion of a working test period. For employees in the unclassified service, permanent status is obtained after serving in a position for at least six months (full-time or full-time equivalent).
In order to be considered for this job opening, you must meet the Minimum Qualifications and the Preferred Qualifications as listed on the job opening. You must specify your qualifications on your application.
Applicants must include a resume within the "Resume Tab" of their application. Ensure that your application is complete before submitting it. Applicants will be unable to make revisions once their application is submitted into the JobAps system.
Interviews will be limited to candidates whose experience and training most closely meet the requirements of the position.
Direct questions pertaining to this recruitment to jennifer.brame@ct.gov. Reference #122986.
This position will work with the UCONN staff at the Connecticut Transportation Safety Research Center to improve and support data in the development and maintenance of a state-of-the-art crash data, collection, and safety analysis system. The role will also include extensive networking across all bureaus to ensure standardization and continuity amongst agency wide data collection efforts.
Other duties include: assign, oversee, and review work of staff; provide staff training and assistance; conduct interviews; conduct performance evaluations; determine priorities and plans section work; establish and maintain section procedures; review, develop or make recommendations on policies and standards; prepare and review reports, recommendation, and correspondence; develop, program, and oversees communication and coordination with other Department of Transportation offices/units, make presentations at public seminars; and perform other related duties. This position is full time, 40 hours per week and is in the P-4 (Engineering and Scientific) bargaining unit.
Highly preferred qualifications include considerable experience and working knowledge of Mavric, Exor, FME, Mapillary and ESRI; a vision to explore and incorporate new technologies as appropriate; have an excellent understanding of the TED initiative, and know how TED data can and will be integrated to assist the Department to make better informed decisions. A successful candidate will need to develop, maintain, and enhance an excellent working relationship with Asset data stewards and the Department’s IT staff, consultants and town officials.
AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER
The State of Connecticut is an equal opportunity/affirmative action employer and strongly encourages the applications of women, minorities, and persons with disabilities.