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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data & Data Products - **Company:** Wme Group - **Location:** Beverly Hills, CA, United States - **Experience:** Expert - **Salary:** $195,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Cyber Security, Information Engineering, Data Infrastructure, Metadata, Recommender Systems, Technical Data Management Systems, Data Strategy - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b6cfd9275638ddf5 ## About the Role * 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. * Experience in media, entertainment, sports, marketplaces, talent businesses, financial data, recommendation systems, or client-facing data products is a plus. ## Description * 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 WME licenses valuable data across entertainment, audiences, media, touring, brands, and other markets. You will: * 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, 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. * How You'll Work This is not a traditional reporting leadership role. You will spend significant time understanding how WME's businesses work, how decisions get made, and where better information could change an outcome. You'll move between strategy and execution: defining a multi-year direction while helping teams solve practical problems today. You'll work closely with our Product and Engineering organization. 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. You'll also partner with specialist teams across WME, including Finance and WME Insights, rather than trying to centralize every form of analysis into one organization.