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Caltrans District 3 · 10 hours ago

ENVIRONMENTAL PROGRAM MANAGER I (SUPERVISORY)

Yolo, CA

Full-time

Hybrid

Senior Level

$12,551/mo - $15,602/mo

Caltrans District 3 is seeking an Environmental Program Manager I (Supervisory) to lead efforts in population modeling and ecological monitoring for aquatic species. The role involves developing population models, assessing habitat conditions, and coordinating with various stakeholders to inform management decisions.

Government Administration

Responsibilities

Lead the Department’s primary technical expert in population modeling, statistical analysis, and ecological monitoring for salmonids and other aquatic species

Develop and apply population models, interpret model outputs, integrate multi-year monitoring data, and evaluate habitat and riverine conditions to inform management, regulatory compliance, and operational decisions

Assess limiting factors affecting populations, design and implement monitoring programs and experiments, and coordinate with internal teams, contractors, and interagency partners

Contribute to adaptive management and habitat restoration initiatives, produce technical reports and presentations, and provide mentoring and technical guidance to staff and collaborators on modeling, statistical analyses, and scientific methods

Qualification

Population modelingStatistical analysisEcological monitoringStatistical software RStatistical software PythonStatistical software SASStatistical software MATLABData managementMonitoring program designGISSpatial analysisTechnical report writingMentoringCollaboration

Required

Possess a valid driver's license to drive to meetings and potentially to remote field locations for monitoring activities or research

Preferred

Extensive experience applying advanced population modeling and statistical analyses to support the management and conservation of aquatic species, particularly salmonids

Demonstrated ability to develop new models, apply existing models to diverse datasets, and interpret outputs to inform operational decisions, conservation strategies, and regulatory compliance

Regular use of statistical software, such as R, Python, SAS, MATLAB, etc., to conduct analyses and interpret results

Experience integrating long-term monitoring data and field-collected datasets (e.g., species counts, water quality, flow, temperature, and habitat measurements) with field observations to evaluate population trends, quantify abundance, and identify ecological or habitat factors that may limit species recovery

Understanding of the ecological dynamics of riverine and estuarine systems and capability of assessing habitat conditions based on structured data collection and analysis to guide restoration and adaptive management efforts

Experience managing and maintaining datasets or databases used for monitoring, modeling, and analysis, and performing QA/QC to ensure data integrity

Strong background in designing and implementing monitoring programs, surveys, or field experiments, including establishing metrics, indicators, and data management protocols that support rigorous, reproducible analyses

Ability to synthesize results from multiple data sources (monitoring datasets, modeling outputs, and literature reviews), conduct literature reviews, and translate complex findings into actionable recommendations for internal leadership, interagency partners, and regulatory stakeholders through written technical reports, written summaries, and formal presentations

Experience mentoring, training, or providing technical guidance to staff or collaborators in data collection, analysis, and modeling methods

Experience working in collaborative, cross-disciplinary, and matrix-managed environments and fostering a culture of analytical rigor and scientific best practices, ensuring the quality, defensibility, reproducibility, and QA/QC of all technical products

Experience applying population viability and risk modeling, evaluating the effects of water operations on species and habitats, and using GIS and spatial analysis to inform management decisions

Ability to manage large datasets, interpret multi-year monitoring results, and contribute to adaptive habitat restoration projects while coordinating projects and analyses with external agencies or partners

Experience applying experimental design principles, conducting peer review and quality assurance, and translating complex technical findings into actionable recommendations communicated to supervisors, management, and external regulatory or stakeholder audiences