Senior Director of Data Strategy leading Data & Technology programs at Audubon. Collaborating across teams to develop enterprise data systems and drive conservation efforts.
Responsibilities
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.
The Senior Director will play a key role in maturing the data and technology program at Audubon.
Collaborate with other data and technology leaders and cross-functional teams to design and implement enterprise data strategies.
Partner with and support programmatic and business teams to identify and advance operational and strategic goals.
Ensure alignment to an enterprise strategy, governed for long-term impact, and are properly leveraged for delivery of enterprise-level data products.
Requirements
Master’s degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or similar discipline.
10+ years of directly relevant work experience and 3+ years of leadership experience developing and managing data programs and strategies.
An equivalent combination of education and experience will be considered.
Proven success as a data and technology leader.
Strong detail-oriented execution skills, including direct experience as an individual contributor and experience leading teams to move projects from conception to completion.
Demonstrated ability to manage teams of technical practitioners in a workplace environment is required.
Success in leading/sponsoring large data strategy, governance, and programmatic maturity initiatives in matrixed organizations.
Experience transforming how data delivers business value and impact value in large federated non-profit, government, or other environmental or social impact organization strongly preferred.
Demonstrated experience working directly with data and product engineering teams and possessing a strong grasp of technical concepts such as system architecture, cloud technologies (e.g., AWS, Azure, GCP), ETL processes including use of data integrations and data services, and DevOps best practices.
Benefits
Professional development opportunities
Flexible work arrangements
Job title
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