In pursuit of Audubon's conservation mission, the Data & Technology team partners with programmatic and business teams across the organization to develop and deploy enterprise data systems and data-driven practices at the scale needed to achieve our ambitious goals. The Senior Director, Geographic Information Systems (GIS) will lead the development and implementation of a unified enterprise GIS strategy that supports conservation priorities, operational efficiency, and innovation across programs. A successful candidate will bring their GIS expertise to the collaboration with other leaders across technology, science, and conservation, as well as external partners and Audubon’s broader GIS user community, to advance Audubon’s data-driven approach to hemispheric-level bird conservation. The role requires excellence in relationship and people management including mentoring early career professionals, technical leadership to drive the implementation of a hybrid ArcGIS deployment and advanced spatial analysis, and vision for the development and management of innovative and impactful conservation GIS products and applications, including leveraging emerging data sources and technologies (such as AI) in the conservation sector. This position reports to the Vice President of Data and Technology within the Audubon Technology team. This is a hybrid position based in Audubon’s New York City or Washington, DC offices. We will also consider remote candidates within the United States. Only applications submitted with a cover letter will be considered. Examples of initiatives that the position will support are: Development of GIS tools for conservation planning, spatial prioritization, and impact measurement. Creation of templatized GIS products, tools and methodologies to streamline geospatial data collection, analysis and visualization across the organization. Implementation of internal GIS tools to improve operational efficiency, such as land asset tracking, field data collection, and spatial reporting. Expansion of spatial data and technical infrastructure to support AI-driven spatial analysis and predictive modeling. Strengthening of GIS support for external partners, including chapters and community users, through improved access, training, and shared tools.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees