Director-Advanced Analytics

About the role

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. As the Director of Advanced Analytics, you will build a more connected world by transforming complex data into growth strategies that help customers, markets and technology come together. In this role, you’ll use advanced analytics, competitive intelligence and scenario planning to shape how the business invests and competes across fiber, wireless and converged services. Your leadership will help local and enterprise teams identify opportunities, anticipate market changes and make informed decisions that accelerate sustainable growth.

Location: Atlanta, Georgia, Dallas, Texas

Responsibilities

• Lead the development of data-driven growth strategies across local markets. You’ll translate advanced analytics, market intelligence and scenario modeling into actionable business plans that inform investment, resource allocation and go-to-market priorities.
• Partner closely with market and enterprise leaders to identify and quantify long-term growth opportunities, assess competitive threats and determine where and how the business should invest and compete.
• Using hyper-local analytics and modeling, you’ll evaluate differences across markets, cities and customer segments and turn those insights into targeted growth actions.
• Develop strategic business cases and multi-year roadmaps across fiber penetration, wireless share, convergence, customer value, revenue and profitability. By combining strategic thinking, advanced analytics, financial acumen and executive storytelling, you’ll transform complex market intelligence into clear recommendations, priorities and plans.
• Develop local-market growth strategies: Translate data, competitive intelligence and market dynamics into actionable strategies that drive growth across fiber, wireless and converged services.
• Lead advanced analytics and scenario planning: Gather, analyze and interpret diverse internal and external data sets to identify causal relationships, trigger points, behavioral patterns, predictions and long-term opportunities.
• Build models and business cases: Develop and test predictive models, forward-looking market scenarios and strategic business cases that evaluate customer value, market share, revenue, profitability and potential returns.
• Guide investment decisions: Quantify economic value and recommend investment, resource allocation, process, financial, business model and go-to-market priorities based on market-level