• Vice President of Data and Analytics

    Job Locations
    US-NY-New York | US-DC-Washington
    Regular, Full-Time
    Job Category
    Executive/Senior Management
    New York
    Additional Location : City
    Additional Location : State/Province
  • Overview

    Now in its second century, Audubon is dedicated to protecting birds and other wildlife and the habitat that supports them. Audubon’s mission is engaging people in bird conservation on a hemispheric scale through science, policy, education and on-the-ground conservation action.  By mobilizing and aligning its network of Chapters, Centers, State and Important Bird Area programs in the four major migratory flyways in the Americas, the organization will bring the full power of Audubon to bear on protecting common and threatened bird species and the critical habitat they need to survive.  And as part of BirdLife International, Audubon will join people in over 100 in-country organizations all working to protect a network of Important Bird Areas around the world, leveraging the impact of actions they take at a local level.  What defines Audubon’s unique value is a powerful grassroots network of nearly 500 local chapters, 23 state offices, 41 Audubon Centers, Important Bird Area Programs in 50 states, and 700 staff across the country.  Audubon is a federal contractor and an Equal Opportunity Employer (EOE).









    Position Summary

    Based in either NYC or Washington D.C. and reporting to the Chief Technology Officer, the Vice President of Data and Analytics will be charged with setting the vision and leading a team that delivers the technology strategy, services, and infrastructure that enables data-powered work to maximize Audubon’s mission impact. Data science, analytics, geographic mapping, and business intelligence are essential to how Audubon does its work across business teams including conservation, science, advocacy, marketing, fundraising, and finance, and the Data and Analytics team will play a key role in empowering that work. The person in this role is also responsible for educating the broader Audubon organization by communicating the opportunities and value of using data-driven methodologies and modern-day data tools and platforms.

    Essential Functions

    • Along with the CTO, provide strategic thinking and leadership of our Data and Analytics work, including defining the roadmap of work, engaging in cross-organization priority projects with a heavy data component, and ensuring successful delivery of reporting and analysis services. Projects you can expect the team to work on include:
      • Migratory Bird Initiative, a multi-year project to track and aggregate varied data sources about migratory bird species, where they go, and the threats they face
      • Convert raster data of predictive bird species ranges based on climate change models to vector features to enable enterprise GIS analysis and further conservation research
      • Integrate data from multiple sources (e.g., email, website interactions, CRM and volunteer activity, voter files, demographic data to support inclusion and equity metrics) into a data warehouse and building optimized views and workflows for analysis, reporting, and dashboard visualization
      • Identify, evaluate, and implement infrastructure solutions for unified business intelligence, data warehousing, scaling and parallel processing, and machine learning
      • Proactive data analysis to identify issues and implement a plan to improve the quality and integrity of operational data, particularly constituent data across data-heavy systems like Salesforce and EveryAction
      • Advise on the design, build, and maintenance of structured databases to track curated data such as bird species taxonomies, bird-friendly native plants by geolocation, and important bird areas, along with product and engineering staff
    • Define roles, recruit, and develop a small but highly successful team for building and owning the data platforms, data pipelines, and analytical and business intelligence tools, as well as providing reporting and analytical support and services.
    • Oversee the Enterprise Geographic Information Systems (GIS) function led by the Director of Enterprise GIS, a team of support specialists and Dangermond fellows that manages the GIS infrastructure, supports GIS and mapping needs across the Audubon network, and engages in priority projects with Science and other divisions that leverage enterprise GIS and mapping technologies.
    • Develop and document unified data definitions and data source catalogs, and advocate for workable cross-organization metrics and KPIs
    • Act as the organization’s subject matter expert for data-related tools and platforms, data best practices for integrity, testing, and modeling, and analytical approaches.
    • Collaborate with the peer Engineering team to ensure data quality and to advise on the design and implementation of system integrations and API services
    • Partner with the Director of IT to support data governance initiatives and to ensure the reliability and security of data services and infrastructure
    • Partner with leaders of the Audubon network across state offices and nature centers to track KPIs and other data tailored toward their particular locations

    Qualifications and Experience

    • 10 years’ progressive professional experience, to include experience at a senior management level with comparable staff and budget responsibilities.
    • Significant experience in leadership/management role leading data engineers, architects, and/or analysts building and working with data lakes, warehouses, marts, pipelines, and providing reporting or analytical services.
    • Advanced degree in Statistics, Data Science, Mathematics, Computer Science, or related quantitative field strongly preferred.
    • Deep SQL experience and familiarity with cloud data warehouse solutions like Redshift, Snowflake, Azure Data Warehouse, and/or BigQuery.
    • Experience with cloud infrastructure fundamentals (e.g., AWS EC2, S3, Lambda or equivalent services from Azure or Google)
    • Experience with Python, Java, Scala, .NET, R or other programming languages proven to be robust and widely used for ETL/ELT and data analytics.
    • Experience with business intelligence tools (e.g., Tableau, Looker, PowerBI) and familiarity with web data and mapping visualization technologies such as D3.js, Plotly, ArgGIS API for JavaScript, and Leaflet.
    • Experience with or strong understanding of ETL/ELT and workflow tools like AWS Glue and Airflow.
    • Experience with or strong understanding of big data architectures and data modeling to efficiently process large volumes of data, including solutions like Spark, Hadoop, EMR, etc.
    • Experience with or strong understanding of machine learning and data science platforms and services like Sagemaker, Domino, TensorFlow, etc.
    • Demonstrated ability to discuss technical information to non-technical audiences. Strong public speaking and writing skills are critical for success.
    • Genuine passion for conservation and the mission of the National Audubon Society.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed