Senior Director of Data Science & Analytics

Want to help us, help others? We’re hiring! 

GoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.

Join us! The GoFundMe team is searching for an exceptional Senior Director of Data Science and Analytics with a passion for data insights and a relentless focus on execution.  You will lead our Data Insights team consisting of Data Science and Business Intelligence functions.  In this role, you will bring the analytical rigor required to solve complex, ambiguous, and high-visibility business challenges to drive user growth, engagement, and user satisfaction with our platform.  You and your team will work cross-functionally with senior leaders from research, product, design, development, marketing, and other teams to help build world-class products by making strategic recommendations via investigative deep-dives and hypothesis-driven insights.  You and your team will be trusted thought partners with our data engineering and machine learning team, collaborating to build a world class data platform to unlock impactful insights to drive customer success and  the growth of our business.  

You will be a good fit if you enjoy digging deep into data, excel in problem-solving, mobilizing execution through cross-functional collaboration and have demonstrated success in managing complex data challenges. This strategic role will report to the SVP of Finance and is located in the Western part of the US.

The Job…

• You will manage the structure, priorities, development, and operations of a team of Data Scientists and Business Intelligence Analysts. Additionally, you’ll be tasked with enabling the broader organization to best leverage our data team and data tools.
• You and your team will answer a wide range of tactical and strategic questions about our users and overall business performance. You’ll work closely with leaders across the organization to proactively identify and scope their business intelligence and data analysis needs, provide recommendations on the best metrics to measure and watch, and turn data into critical insights that can be used to make sound business decisions.
• Coach and mentor a group of team members on day-to-day delivery
• In partnership with our data engineering team, you will play a major role in structuring the people, processes, and data structure we need to maximize our data and analytics capabilities.
• Identify key metrics and make recommendations that drive decision-making and business prioritization
• Define and cultivate best practices in analytics instrumentation and experimentation
• Analyze consumer product performance and health, triage issues, and provide recommendations on the best course solution and optimization.
• Collaborate with engineering and data engineering on data pipeline requirements to enable feature tracking and resolve complex data and tracking issues
• Partner with the executive team and key leaders across product, engineering, marketing, sales, communications, customer care, and business operations to derive actionable insight from the data to help our users be even more successful on our platform.

You…

• 10+ years of professional experience, including data science, analytics, business intelligence, or comparable fields.  Proven track record in building and managing high-performing data science and analytics teams.  B.S. in a quantitative field; advanced degrees preferred.
• Will lead a Data Science team and a Business Intelligence team and your technical expertise makes you a valuable sounding board and mentor to the current team and future hires. Pride yourself on being a servant leader and have extensive experience as a people manager, coach, and mentor.
• Bring a wealth of experience and institutional knowledge from consumer internet businesses.
• Experience with data science programming languages such as SQL, R, and/or Python plus data visualization tools such as Looker, and comfortable working with large, complex, and potentially messy datasets.
• Understand statistics/machine learning