Senior Director, Data Engineering and Infrastructure

Position Summary:

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, Data Engineering and Infrastructure will play a key role in designing, managing, and continuously improving Audubon’s data engineering processes and products, as well as our data architecture tools and systems.  This role is critical to managing and maturing Audubon’s Data & Technology infrastructure and engineering approaches to enable us to best utilize and steward thousands of sources and uses of data across Audubon.

This role will partner with and support programmatic and business teams to identify and address data needs and opportunities through the development of data products, tools and processes that enable us to effectively and efficiently utilize data to advance our mission for hemispheric level bird conservation.  The Senior Director will be directly responsible for executing these activities, and will lead a team of engineers within Audubon Technology operating in close partnership with the other National Audubon Society Data & Technology teams including Data Analytics; Data Strategy and Measurement; and Enterprise GIS.  This role will also collaborate directly with other business teams across Audubon including Marketing and Communications, Development, Finance, Government Affairs, Conservation, Equity Diversity Inclusion and Belonging (EDIB), and others. 

A successful candidate will have comfort and familiarity with a broad range of data engineering tools and methods, as well as strengths in engineering management, project management, change management, and communication among technical and non-technical stakeholders. 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. 

Interested candidates should attach a cover letter to be considered for this opportunity.

Examples of initiatives that the position will support are:

• Maintain and improve enterprise data architecture to support Audubon’s bird conservation efforts, including tracking and communicating about our impact, supporting the work of Conservation leaders and teams across the hemisphere, and advancing Audubon’s policy, climate, and scientific goals.

• Develop and deploy data engineering and infrastructure solutions to help Audubon grow and deepen engagement with millions of supporters, bird lovers and activists across the hemisphere, online and offline.

• Collaborate with operational teams such as Development, Marketing and Finance to build data capacity and maturity with business data analysts and executive leaders; act as a key strategic partner to identify and act on opportunities to leverage Audubon’s enterprise data infrastructure to efficiently and effectively address critical business needs and opportunities.

Compensation:

Salary range based on geo-differentials:

• $160,926 - $181,041 / year = National

• $181,041 - $203,671 / year = Alaska, CA (not San Francisco), Connecticut, D.C., Chicago, Oyster Bay, NY

• $201,155 - $226,300 / year = NYC (not Oyster Bay), San Francisco, Seattle

Additional Job Description

Essential Functions

• Serve as a leader within Audubon Technology with primary responsibility for managing and improving data integrations, infrastructure, and processes that maintain alignment and improve data quality and integrity across Audubon’s enterprise data warehouse, business systems, and other internal and external data sources, systems and products.

• Develop and implement flexible and scalable data engineering and infrastructure approaches, tools and frameworks to enable effective and efficient development of data products to address current and emerging cross-functional priorities and needs, with a keen focus on user experience, adoption and change management.

• Provide and manage ongoing data engineering support and data product development in collaboration with operational and programmatic teams across Audubon; Support and collaborate with business data analysts and users across stakeholder teams to advance team level and organizational data maturity.

• Recruit, manage, mentor and develop the Data Engineering team, including staff and contractors, to implement the activities above.

• Proact