We are seeking a visionary Head of Data to spearhead our efforts in harnessing the power of data to fuel our next growth phase. This key role will focus on establishing and maintaining best-in-class data practices, including consistent data modeling, visualization, lineage, and quality. The successful candidate will play a key role in shaping our data strategy, fostering a data-driven culture, and ensuring that our data assets are leveraged effectively to support strategic decisions and operational excellence. We are headquartered in Washington, DC, but are hiring across the US (we are a fully remote workforce).

Responsibilities will include:

• Develop and implement a comprehensive data strategy that aligns with our growth objectives, including data governance, data quality, data modeling, and data analytics initiatives.
• Lead the design and maintenance of scalable data models and architectures, ensuring consistency, efficiency, and security across our platform including our internal tooling and our data warehouse.
• Collaborate closely with Product to identify data needs, integrate new data sources, and support data-driven decision-making processes.
• Champion the use of data visualization tools and techniques to enhance decision-making and communicate insights effectively across the organization.
• Establish robust data lineage and quality frameworks to ensure accuracy, completeness, and reliability of data throughout its lifecycle.
• Drive the adoption of best practices in data management and analytics, including the evaluation and introduction of new technologies and methodologies.
• Work closely with our Data Scientists to help support and grow our AI/ML initiatives.
• Foster a culture of continuous improvement, innovation, and learning within the data team and across the organization.

What we are looking for:

• Expertise in data modeling, data architecture, and data visualization tools and techniques.
• Extensive experience with database management systems (SQL and NoSQL).
• Strong proficiency in programming languages relevant to data engineering (e.g., Python, R, Scala, etc).
• Strong understanding of data governance, data quality standards, and data lineage concepts.
• Demonstrated ability to develop and execute data strategies that support business growth and operational excellence.
• Excellent communication and collaboration skills, with the ability to translate complex data concepts into clear and actionable insights.
• Experience contributing to and supporting AI/ML data projects including support of a Data Science team.
• 10+ years of experience in programming and development with a focus on data driven solutions.

Bonus points if you have:

• Experience with deployments to Heroku, AWS, or similar.
• Operations experience and how it pertains to reliability/speed, especially as it relates to data replication and transformation.
• Experience with Customer Relationship Management tools and data structures.
• Experience working on a fundraising/crowdfunding platform.
• Experience working on a fintech or payments technology product.