Head of Data & Data Products

WME is looking for a Head of Data & Data Products to build the next generation of our data capability.

WME sits at the center of entertainment, representing leading artists, creators, athletes, brands, and intellectual property around the world. Every day, our teams generate and work with an extraordinary amount of information about relationships, opportunities, deals, audiences, markets, and outcomes.

We believe that data can become a meaningful competitive advantage for WME - not simply by producing more reports, but by making our collective knowledge easier to access, understand, and act on.

This role will lead that evolution.

You will own WME's data product strategy, self‑service analytics, shared business definitions, domain intelligence, and the business roadmap for predictive and decision‑support capabilities. You will also help us rethink how the third‑party data we license can become a reusable capability across our products and businesses.

The goal is straightforward: turn WME's data into products and intelligence that help our people make better decisions, identify opportunities, serve clients, and grow the business.

• Build WME's Data Product Strategy
  • Define and lead a data product roadmap tied to real business decisions and opportunities.
  • Turn important datasets into trusted, reusable products rather than inputs to individual reports.
  • Identify where recurring analytical needs should become self‑service capabilities and where expert analysis remains the better answer.
  • Define the users, business meaning, quality expectations, access requirements, and success measures for major data products.
  • Measure adoption and business impact, and continuously improve what we build.
• Make Trusted Data Easier to Use
  • Modernize WME's self‑service analytics and reporting capabilities.
  • Make common business questions easier to answer without requiring an analyst for every request.
  • Give users the context they need to understand what a metric means, where it came from, how current it is, and when it should be used.
  • Establish shared definitions for critical business concepts and improve consistency across teams and systems.
  • Reduce duplicated and bespoke reporting through reusable datasets, metrics, and analytical products.
• Turn Data Into Intelligence
  • Identify where WME's proprietary data can reveal opportunities, patterns, and insights that aren't visible through external market data alone.
  • Build domain intelligence capabilities that combine deep understanding of our businesses with strong analytical judgment.
  • Own the business roadmap for capabilities such as matching, predictive pricing, demand forecasting, relationship intelligence, recommendations, opportunity detection, and anomaly detection.
  • Determine when sophisticated modeling is warranted - and when a simpler analytical approach will produce a better result.
  • Define success in business terms such as revenue, conversion, pricing, productivity, targeting, and client outcomes.
• Make More of Our External Data
  • Develop the product strategy for making those sources more reusable across WME.
  • Partner with research, engineering, procurement, and business teams to identify the sources that create the most value.
  • Help move external data from isolated reports into reusable datasets and capabilities.
  • Measure utilization and value to inform which sources we retain, expand, replace, or retire.
  • Explore opportunities to combine proprietary and external data in ways that create differentiated capabilities for WME and our clients.
• Build the Function
  • Build and lead a focused team with strong analytical, business, and product judgment.
  • Develop domain expertise around the areas where WME has the greatest opportunity to create value from data.
  • Partner closely with Product,…