Senior Corporate Strategy Manager - Strategic Pricing

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The Core Pricing team at T-Mobile USA develops the business logic and economic analysis behind pricing decisions for postpaid products and services: rate plan architecture, promotional and device economics, and the value propositions that define how T-Mobile competes. These decisions set prices across a multi-billion-dollar revenue base and shape customer lifetime value, competitive positioning, revenue growth, and long-term business performance.

We are looking for analytical and strategic problem solvers with strong quantitative backgrounds. You will own work streams end to end on problems that arrive ambiguous and high-stakes, partnering with Marketing, Finance, Product, and Sales, and your recommendations will be debated and decided by senior leaders.

Job Responsibilities:

Own the economic case for major postpaid pricing decisions, including new rate plan architecture, offer economics, and new value propositions, from framing the question through the recommendations to leadership

Estimate demand response: price elasticity, take rates, mix shift, and cannibalization across plans , products and segments. Quantify the trade-off between volume, ARPA, churn

Build financial models that hold up under scrutiny: scenario and sensitivity analysis, explicit and defensible assumptions, anticipated competitive response

Partner with cross-functional teams to craft options and recommendations, then present them to senior leadership

Develop a deep understanding of industry, competitive, corporate, and customer drivers to inform optimization of pricing strategy and the corporate profit model

Education:

Bachelor's Degree Business (Finance, Accounting), Economics, Statistics, or other quantitative fields (e.g., Engineering, Math, Physical Sciences) or equivalent experience (Required)
Master’s degree in a quantitative field such as Economics, Computer Science, Mathematics, Statistics, Finance, Operations Research, or Engineering, plus 5 years of related experience ( Preferred)
Alternatively, a Ph.D. in a relevant quantitative field plus 2 years of related work experience ( Preferred)

Work Experience:

Strong analytical skills with the ability to translate data into insight; experience with performance analysis, business case analytics, and financial modeling

Comfort with ambiguity: ability to frame business questions, determine required analysis, balance speed and depth

Strong communication and executive presence, including the ability to compress a highly quantitative analysis into a clear recommendation and engage senior leadership  Ability to prioritize and deliver across multiple concurrent work streams while maintaining attention to detail and a strategic perspective

Advanced SQL and Excel required, with experience in R, Python, Tableau, or Power BI preferred. Experience querying large customer-level datasets in warehouse environment like Snowflake Preferred: prior experience in telecom, subscription, or another recurring-revenue business, or a background in pricing, finance, or corporate strategy

Knowledge, Skills and Abilities:

Problem Solving “Consulting-style” problem solving that can break ambiguous problems into pieces using a hypothesis-driven approach. (Required)
Analytics Perform broad array of analytic capabilities: descriptive analytics on big data sets, predictive…