Svp – Data
Posted on 3/30/2023

201-500 employees

Experience Level
  • 15+ years of professional experience, including data science, analytics, business intelligence, or data engineering. Proven track record in building and managing high-performing data science, data engineering and analytics teams. B.S. in a quantitative field; advanced degrees preferred
  • Will lead a Data Science, Business Intelligence and Data Engineering teams 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 (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
  • Exceptional communication skills, both written and verbal. Ability to influence cross-functional teams by building successful relationships and partnering across the organizational structure
  • Seamlessly package key takeaways from analyses and communicate insights to all levels of the organization. You can easily switch between technical discussions with team members to presenting high-level insights to leadership audiences (and everything in between)
  • Measured, clear, and concise communication & presentation skills
  • Strong project management skills and experience
  • Action-oriented and solution-driven with the ability to thrive in a fast pace environment
  • Manage highly confidential information with professionalism and unquestionable integrity
  • Passion for understanding our customers and their behavior
  • Excited about GoFundMe's mission. Ethics, Values, and Inclusion
  • You will manage the structure, priorities, development, and operations of a team of Data Scientists, Business Intelligence Analysts and Data Engineers. Additionally, you'll be tasked with enabling the broader organization to best leverage our data team and 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
  • Lead the Data Engineering team and provide recommendations 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