Join the team shaping the future of media measurement at T-Mobile. As the Sr Manager, Business Analysis - Media Analytics & Attribution, you will lead a high-performing team of analysts and data scientists dedicated to transforming how we measure, analyze, and optimize paid media performance. You will play a strategic leadership role in building robust analytics frameworks, guiding advanced attribution models, and ensuring data-driven decision-making at scale.
In this role, you'll oversee a team that includes Sr Business Analysis Managers and Principal Data Scientists, empowering them to develop cutting-edge modeling, reporting, and experimentation capabilities. Your leadership will influence multimillion-dollar marketing investments and help define how T-Mobile quantifies marketing effectiveness across channels.
What You'll Do:
- Lead the Media Analytics & Attribution team, overseeing the delivery of insights, models, and experimentation that drive paid media efficiency and business outcomes.
- Lead and mentor a team of senior analysts and data scientists, encouraging technical excellence, big-picture thinking, and career development.
- Own the strategic roadmap for media measurement, including the evolution of attribution models (MTA, MMM), forecasting tools, and ad testing frameworks.
- Collaborate cross-functionally with Marketing, Finance, Data Engineering, and Enterprise Analytics to align media strategy with business goals.
- Translate analytical findings into executive-level narratives, shaping strategic media decisions through clearly communicated insights and recommendations.
- Drive innovation in marketing measurement, encouraging the adoption of advanced AI/ML methods, causal inference techniques, and automation.
- Establish performance metrics and KPIs for campaign evaluation, ensuring consistency, transparency, and impact in media reporting.
- Champion a culture of experimentation and continuous improvement, including A/B testing, lift studies, and synthetic control methods.
What You'll Bring:
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Economics, Data Science, Engineering); MBA or PhD a strong plus.
- 10+ years of analytics experience, including 3+ years managing high-performing analytics or data science teams.
- Deep expertise in marketing/media analytics, attribution modeling, and campaign performance evaluation.
- Proven ability to lead cross-functional initiatives that span technical and business domains.
- Strong technical proficiency in SQL, Python, R, and familiarity with data science methodologies and BI tools like Tableau or Power BI.
- Excellent interpersonal skills, with the ability to present to and influence executive leadership.
- Track record of scaling analytical capabilities in a complex, fast-paced environment.
- Experience with marketing platforms, customer data environments, and media mix measurement is highly desirable.
This role is ideal for a strategic, hands-on analytics leader who is passionate about advancing the science of marketing measurement while driving real business value. If you're ready to lead a team at the forefront of marketing analytics innovation, we want to hear from you.