Senior Network Modeling & Strategy Planner

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Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world.

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next.

At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future.

The Role The Network Strategic Solutions team is responsible for building and testing Lumen’s network strategy plan to support demand growth fueled by datacenter connectivity, cloud access, and AI workloads. This function is responsible for linking network assets and capabilities into an operational plan, executing against monetization and growth objectives while steering the company towards its strategic priorities.

This role will model various scenarios with changing input from customer demand and investment opportunities to continue to grow and build the most relevant fiber transport network. Additionally, this role is responsible for various demand ingestion points and modeling into a complete national network plan with operational recommendations including network investment strategies and customer targeting. This is a highly cross functional role that engages across all business units to drive alignment and recommendations for key operational outcomes to create new, innovative ways to show up in the market.

Location This is a work from home position within the U.S.

The Main Responsibilities

  • Partner with customer facing teams to align key customer demands across fiber, critical infrastructure and lit solutions.
  • Model network investment options inclusive of fiber builds, leased fiber options, critical infrastructure and M&A options.
  • Support the creation and maintenance of multi-year, network expansion and investment plan that aligns to strategic priorities.
  • Support valuation of strategic partnerships available in the market.
  • Model revenue opportunity and competitive threats across network investments.
  • Partner with peer planning departments to assist in simplifying the network story into easy to consume business milestones and decision points.
  • Optimization of large customer deals by identifying investment synergies and cost reduction strategies to increase financial flexibility.
  • Simply complex engineering principles into concise business outcomes through communication and data visualization.
  • Acts as primary consultant to leadership detailing the technical requirements and specifications necessary to obtain solutions.
  • Create requirements for data science and analytics team to build quantitative modeling to support scenario modeling.
  • Partner with GIS analysis ecosystem to build relevant tooling and visualizations to communicate network capabilities and strategy.
Required Qualifications What We Look For in a Candidate
  • Bachelor’s degree or equivalent education and experience
  • 4-6 Years related experience.
  • Continuous improvement and a transformative mindset to solve Lumen’s complex and cross functional business objectives in an agile and fast changing environment.
  • Recognizable as a leader, possessing outstanding communication and interpersonal skills.
  • Expert quantitative and technical skills required.
  • Expert data sourcing and manipulation across SQL and flat file data environments, with the ability to create customized data sets to solve network questions and problems.
  • Experience in revenue enablement function across network space.
  • Advanced financial acumen and quantitative skills.
  • Expert Proficiency in Microsoft 365 applications (Excel & PowerPoint)
  • Ability to shape complex data into an actionable and measurable outcome for stakeholder and leadership consumption.
Preferred Qualifications
  • Knowledge of AI compute architectures and the various fiber network and transport capabilities needed to support both AI training, inference and extension to the edge.
  • Knowledge of AI/MLL/ML modeling techniques and mechanisms to drive business insights and outcomes.
  • Ability to quickly identify market opportunities based on changing customer demand, technology landscape, and competitor activity.
  • Strong background in translating data-oriented insights into operational action plans.
  • Ability to manage and execute changing strategic priorities.
  • Proven track record of partnering with Product, Sales, and Partner teams to develop and operationalize revenue-generating initiatives.
  • Underst
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