Director, Analytics at United Football League (UFL)
Job Description
Position: Director of Analytics
Reports to: VP, Data & Business Intelligence
Location: Open to Remote
ABOUT THE UFL
The United Football League (UFL) is the premier professional spring football league, powered by the visionary leadership and investment of Mike Repole and Impact Capital, RedBird Capital Partners, FOX, Dany Garcia, Dwayne Johnson, and ESPN. Built on innovation, accessibility, and competitive excellence, the UFL delivers a dynamic professional football experience for players, fans, and partners alike. The league currently features eight teams and is focused on building the next era of spring football, with expansion planned for 2028 and beyond.
ABOUT THE ROLE
The Director of Analytics is where the UFL's data becomes decisions. You're the leader who builds the pricing and yield models that shape a season's revenue, the segmentation that tells Marketing who to talk to, and the forecasts leadership plans against. Sales, Marketing, Partnerships, Finance, and Football Operations all call this seat when a number needs a meaning.
It's a hands-on role. You'll write the SQL, build the models, and design the dashboards yourself, while setting the standards the rest of the organization runs on: what a metric means, how it's calculated, and why it can be trusted. You'll also make it land for people who don't work in data, turning analysis into recommendations that change what the business does.
The near-term priority is modernizing how the UFL sees itself. That means moving off static, manually assembled reports and onto self-serve tools that let stakeholders explore the business without filing a request, so every department knows how it's performing this week rather than last quarter.
You won't be doing it alone. The UFL is building a dedicated Data & Business Intelligence function, and this role sits alongside a Data Engineer who owns the pipelines and warehouse and a CRM Manager who owns the HubSpot platform. That leaves you free to focus on analytics and decision support. As the function grows, you'll also shape and mentor early-career analytics talent. The function and the UFL's data strategy are still being built, so your view on what we should do with the data we have, and the data we want next, carries real weight.
The ideal candidate thrives in an early-stage environment, is meticulous about data quality, and is motivated by building durable solutions rather than one-off answers. This role is remote, with occasional travel for team meetings and select games.
WHAT YOU WILL DO
Decision Support & Business Partnership
- Serve as the analytics partner to Sales, Marketing, Partnerships, Finance, and Football Operations, embedded closely enough with each group that their leaders bring you problems early, not just requests late
- Run the intake and prioritization of analytics work across the organization. Triage incoming requests into a visible backlog, sequence them against roadmap commitments, and make the call on what gets built, what gets a same-day answer, and what waits
Modeling & Analysis
- Build and maintain the models that drive revenue: ticket pricing and yield management, demand and revenue forecasting, and customer lifetime value, applying predictive and statistical techniques where they earn their keep
- Define who our fans are, what they're worth, and which groups to target for retention and acquisition, then hand those segment definitions to Sales and Marketing to execute against
- Measure what worked. Evaluate the performance and ROI of marketing campaigns, sales efforts, partnership activations, and pricing decisions, and feed those findings into the next cycle
Self-Serve Analytics
- Lead the transition to interactive tools stakeholders can explore on their own, reducing the volume of one-off requests over time
- Maintain the enterprise dashboards that track organizational KPIs, and make sure the people using them understand what they're looking at
Data Standards & Trust
- Own the definitions layer: what each metric means, how it's calculated, where it comes from, and how consistently it shows up across everything the team produces
- Own the accuracy and integrity of analytical output. Partner with the Data Engineer on the pipelines underneath it, and escalate data-quality issues at the source rather than working around them
Team & Culture
- Direct and mentor early-career analytics talent (interns, fellows, and analysts), scoping their work thoughtfully and including them in real projects rather than leftovers
- Build data fluency across the organization, so stakeholders get better at asking questions and interpreting answers
- Work within the team's development practices (standups, backlog grooming, sprint planning, and retrospectives). Take responsibility for how analytics work shows up in them, keeping it visible, scoped, and prioritized alongside engineering and CRM
WHAT YOU WILL BRING
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