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. 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.

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.

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.

Make Trusted Data Easier to Use

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.

Make More of Our External Data

WME licenses valuable data across entertainment, audiences, media, touring, brands, and other markets.

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.

Develop domain expertise around the areas where WME has the greatest opportunity to create value from data.

Partner closely with Product, Engineering, Finance, Research, Operations, Cybersecurity, and business leaders across WME.

Establish clear standards for data quality, definitions, governance, measurement, and responsible use.

Create leverage through strong systems, shared capabilities, automation, and partnerships rather than simply adding headcount.

You’ll move between strategy and execution: defining a multi-year direction while helping teams solve practical problems today.

Engineering owns the technical data platform, including data engineering, pipelines, APIs, infrastructure, and production ML. You will own the business and product side of the data strategy: what we should build, why it matters, how it should be understood, and whether it is creating value.

• Significant experience leading a data, analytics, data product, or applied intelligence function.
• A track record of turning data into products or capabilities that people actually use.
• Experience building self-service analytics or data products without sacrificing context, quality, or governance.
• Experience partnering closely with Product, Engineering, Data Science/ML, and senior business leaders.
• Technical fluency across modern data platforms, warehouses/lakes, APIs, BI, data quality, metadata, access controls, and predictive modeling concepts.
• Experience working with third-party data providers and finding ways to reuse licensed data across products and workflows.
• Experience in media, entertainment, sports, marketplaces, talent businesses, financial data, recommendation systems, or client-facing data products is a plus.

Data is a product. The goal isn't more sophisticated analysis.

It's better decisions and better outcomes.

You can see the path toward predictive intelligence while still improving what people need today.

You want to understand how agents and business teams actually work, not just the data they produce.

You look for reusable capabilities, automation, and strong partnerships before solving a problem with additional headcount.

Success is adoption, better decisions, commercial impact, and client outcomes — not the number of dashboards, models, or datasets produced.

Over time, you'll help WME move from a world where data is often something people request to one where trusted information and intelligence are available where decisions happen.

Proprietary and third-party data can be reused across products and workflows.

Per local requirements and in the interest of transparency, the rate shown below reflects the prevalent current hiring range for this position.

The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.

195,000 annually (minimum will not fall below the applicable state/local minimum salary thresholds) Hiring Rate Maximum:

$260,000 annuallyWME is an equal opportunity employer and encourages applications from qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.