Senior Manager, Fundraising Data & Analytics

SENIOR MANAGER, FUNDRAISING DATA & ANALYTICS

Summary

The Wikimedia Foundation is the non-profit organization that operates Wikipedia – one of the most popular websites in the world, serving nearly half a billion users every month. It is the only non-profit in the top 50 websites, supported by a community of millions of individual donors. 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. The Senior Manager will lead the design, implementation, and maintenance of the data systems, processes and analytics underpinning the Wikimedia Foundation's fundraising program. This includes data controls, training, reporting and analysis, for Digital, Direct Mail, Major Gifts and Endowment fundraising. The Senior Manager will continually assess the data needs for the team and recommend and implement improvements to products, systems and processes. They will play a leading role in structuring, measuring and analyzing donor and income trends to inform fundraising strategy and decision making. This role requires a strong data and analytics acumen and a solid understanding of fundraising strategies. The right candidate will have an inquisitive approach to understanding the power and limitations of data, and will bring an innovative sensibility to how the organization can apply data-driven techniques to grow fundraising revenue. 

As the Senior Manager, Fundraising Data & Analytics, you will join the Fundraising Team which is responsible for raising over $185M annually. In this role, you will help set a vision for the Wikimedia Foundation’s fundraising data and analytics practice. You will be joining at an exciting time, as the Data and Analytics Team is currently modernizing tooling and technology.

You are responsible for:

Team Management 

• 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.

Analytics 

• 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)

Data Management 

• Identify strategic data needs, raising issues that require immediate attention and partnering with Fundraising Technology to deliver database enhancements/upgrades as needed.
• Work with internal teams to identify gaps in data, gather business requirements, and formulate and recommend technical solutions or other approaches that suit organizational needs. Solutions include: sync upgrades, data mapping, writing new scripts and queries, intern