Director of Data Strategy
Remote
Applications have closed
Givebutter
Givebutter is the #1 free fundraising platform for nonprofits. Get access to over 160+ Free features and raise more for your cause.Givebutter has been certified as a Great Place to Work® in 2021, 2022, and 2023, and is the #1 rated nonprofit software company on G2 across multiple categories.
Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way.
Role DescriptionAs Givebutter’s Director of Data Strategy, you’ll play a leading role in driving a Culture of Data and the strategic use of data within the company, providing actionable insights that shape our business decisions and growth trajectory. Reporting directly to the VP of Finance, the Director of Data Strategy will be the cornerstone of our data initiatives, scale and develop the Data team and ensure the alignment of data strategies with our financial objectives and overall business plan.
We want to hear from people who...
- Are visionary leaders with a passion for leveraging data to drive business transformation.
- Have a proven track record of turning data insights into strategic opportunities that propel growth.
- Excel in building and leading high-performing teams, fostering a culture of data, innovation, and collaboration.
- Are adept at communicating complex data insights to stakeholders at all levels, transforming data into compelling stories that inform decisions.
- Demonstrate a commitment to continuous learning and staying ahead of the curve in data technologies and best practices.
- Have strong intuition about a wide range of business problems, understand the best next questions to ask and are proactive about solving them.
Responsibilities
- Architect and lead the implementation of a comprehensive data strategy that aligns with and accelerates the company's strategic objectives.
- Build, mentor, and lead a world-class data analytics and data engineering team, promoting a culture of excellence, innovation, and continuous improvement.
- Spearhead the analysis of complex data sets to uncover trends, generate insights, and identify business optimization opportunities across all areas of the company.
- Design and implement advanced data architectures and infrastructures that ensure the scalability, reliability, and security of our data ecosystem, supporting both current and future business initiatives.
- Forge strong partnerships with senior leadership and cross-functional teams to define and track key performance indicators (KPIs), ensuring that insights and recommendations drive actionable business outcomes.
- Champion the development and enforcement of data governance and quality standards to ensure the integrity and privacy of our data assets.
- Lead the evaluation and adoption of cutting-edge data technologies, tools, and methodologies to maintain a competitive edge in data analytics and strategy.
- Provide regular, data-driven reports and presentations to the executive team and key stakeholders, highlighting insights, trends, and recommendations that guide strategic planning and decision-making.
Requirements
- Minimum of 6 years of experience in data analytics or a related field, with at least 3 years in a leadership role managing data teams.
- Deep expertise in data strategy, analytics, and architecture, with a strong foundation in database design principles.
- Advanced proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Hex, etc).
- Exceptional leadership and communication skills, with a track record of effectively leading data-driven initiatives and teams.
- Strategic thinker with an analytical mindset, capable of translating data insights into impactful business strategies.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field; Master’s preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Data Analytics Data governance Data strategy Engineering Excel Finance KPIs Mathematics Nonprofit Privacy Python R Security SQL Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Health care Home office stipend Medical leave Parental leave Startup environment Team events
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