Proactively drive monetization strategy, yield optimization, and operational excellence across T-Mobile’s owned and operated (O&O) and third-party advertising inventory.
Blend expertise in advertising technology, business intelligence, and revenue management to maximize performance and unlock new revenue opportunities.
Take a hands-on, forward-looking approach to daily revenue trend monitoring, initial troubleshooting, and cross-functional data standups.
Identify risks and opportunities before they impact results.
Oversee the creation of dashboards, pricing models, and inventory health strategies to support T-Mobile’s continued growth as a premier advertising platform.
Support analytic needs by utilizing data from ad servers, SSPs, and demand partners.
Guide AdTech and BI data strategies across mobile apps, web, and programmatic platforms.
Lead day-to-day troubleshooting efforts related to revenue discrepancies, fill issues, and auction health.
Create holistic dashboards from different data sources, presenting metrics such as revenue yield, eCPM, fill rates, floor pricing, win rates, and audience monetization to leadership.
Lead daily/weekly data standups with internal stakeholders and external demand partners to review revenue trends and document operational insights.
Conduct ongoing research on industry trends and media to support business intelligence activities.
Build pricing models for O&O (owned and operated) and third-party inventory.
Design and implement SSP experiments to maximize yield, revenue, and inventory health.
Requirements
Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent.
Acceptable areas of study include Business, Statistics, Economics, Marketing or related field (Preferred).
Prefer 2+ years experience related to business intelligence (Preferred)
Experience in conducting and communicating data-driven analyses; proven experience with quantitative and qualitative analysis and report writing (Preferred)