Head of Data & Data Products

WME | William Morris Endeavor•Beverly Hills, CA

1d•$195,000 - $260,000

About The Position

WME is seeking a Head of Data & Data Products to lead the development of its next-generation data capabilities. WME, a major player in the entertainment industry, generates vast amounts of information daily. This role will leverage data as a competitive advantage by making collective knowledge more accessible, understandable, and actionable. The Head of Data & Data Products will own the data product strategy, self-service analytics, business definitions, domain intelligence, and the roadmap for predictive and decision-support capabilities. They will also focus on making licensed third-party data a reusable capability across WME's products and businesses. The ultimate goal is to transform WME's data into products and intelligence that enhance decision-making, opportunity identification, client service, and business growth.

Requirements

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.
Strong product judgment and the ability to distinguish an interesting analytical problem from a valuable business problem.
Experience building self-service analytics or data products without sacrificing context, quality, or governance.
Strong analytical fluency and comfort challenging assumptions, evaluating evidence, and communicating uncertainty.
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.
Strong executive communication skills and the ability to translate complex analytical or technical ideas into clear business decisions.
Comfort operating in a complex organization where valuable knowledge is distributed across people, systems, and teams.

Nice To Haves

Experience in media, entertainment, sports, marketplaces, talent businesses, financial data, recommendation systems, or client-facing data products.

Responsibilities

Build WME's Data Product Strategy, including defining and leading a data product roadmap tied to business decisions and opportunities.
Transform important datasets into trusted, reusable products.
Identify opportunities for self-service analytics and determine when expert analysis is more appropriate.
Define users, business meaning, quality expectations, access requirements, and success measures for major data products.
Measure adoption and business impact, and continuously improve data products.
Modernize WME's self-service analytics and reporting capabilities to make common business questions easier to answer.
Provide users with context on metrics, including their meaning, origin, currency, and appropriate usage.
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.
Identify opportunities within WME's proprietary data to reveal insights not visible through external market data alone.
Build domain intelligence capabilities combining business understanding with 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 versus simpler analytical approaches.
Define success in business terms such as revenue, conversion, pricing, productivity, targeting, and client outcomes.
Develop the product strategy for making licensed external data sources more reusable across WME.
Partner with research, engineering, procurement, and business teams to identify high-value data sources.
Help transition external data from isolated reports into reusable datasets and capabilities.
Measure utilization and value of external data sources to inform retention, expansion, replacement, or retirement decisions.
Explore opportunities to combine proprietary and external data to create differentiated capabilities.
Build and lead a focused team with strong analytical, business, and product judgment.
Develop domain expertise in areas where WME has the greatest opportunity to create value from data.
Partner closely with Product, Engineering, Finance, Research, Operations, Cybersecurity, and business leaders.
Establish clear standards for data quality, definitions, governance, measurement, and responsible use.
Create leverage through strong systems, shared capabilities, automation, and partnerships.