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About the role
- 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
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