Wikimedia Foundation is hiring a
Senior Manager

Summary

Join the Wikimedia Foundation in our ambitious project to empower people to create and share the sum of all human knowledge. We are looking for a Senior Manager, Fundraising Data & Analytics to lead the team who are responsible for managing and evolving our data and analytics practice.

Requirements

• 8+ years spent in a leadership role managing Data Scientists and Analysts
• Master’s degree in Statistics, Data Science, Mathematics, Computer Science or related quantitative field preferred
• Understanding of fundraising strategies and best practices preferred
• Experience with data analysis and visualization tools such as Tableau, Power BI, or D3.js
• Strong understanding of statistical concepts and machine learning algorithms
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced environment with multiple priorities
• Strong problem-solving skills and ability to think critically
• Experience working with distributed teams using asynchronous and synchronous methods
• Ability to adapt to a rapidly changing business environment
• Strong time management skills and ability to prioritize work

Responsibilities

• Manage team of Analysts, Analytics Engineers and Database Operations staff
• Mentor staff, coaching them on how to solve analytics and data challenges, fostering their growth as data professionals
• Lead team to build data models, pipelines, and products that deliver more actionable insights, focusing on automation and repeatability of solutions
• Review your team’s work from technical design, performance, and code review perspectives, sharing your expertise to develop skills within the team
• Lead team of Analysts and Analytics Engineers providing thought leadership on best practices, helping them to define questions, recommendations, and communicate results
• Lead your team to create training materials, conduct user onboarding, and provide troubleshooting support
• Perform other duties as assigned
• Define an analytics strategy that pushes the Wikimedia Foundation’s fundraising forward. This includes establishing the key metrics to broaden impact as well as partnering with fundraising colleagues to scope, define and implement strategies to hit those metrics
• In partnership with your team, develop analytics infrastructure capable of supporting current and future quantitative needs. This includes defining the structure and architecture of various data sources and working closely with colleagues in Fundraising Technology, and associated vendors, to ensure new data is collected, evaluated, and verified with an eye towards data integrity
• Serve as one of the fundraising team's subject matter experts on analytical approaches necessary to grow revenue, data-related tools & platforms and data best practices (A/B testing, modeling, etc)
• Lead your team to develop, maintain, and enhance reporting systems to track and report on revenue. Work towards the enablement of multi-year revenue forecasting and planning
• Work with other senior leaders to introduce new approaches and models for reporting, forecasting, projections, benchmarking, measurement, optimization, supporter scoring, segmentation and attribution
• Develop the fundraising team’s data science practice, evolving the use of data and segmentation, implementing best practices (eg. propensity modeling)