Network Strategy & Data Analytics Lead

Meta•New York, NY

3d•$135,000 - $191,000

About The Position

Meta’s Network Investments team scales network infrastructure to support the evolution of social technologies. The team invests in and develops subsea cables and terrestrial networks that connect Meta data centers, Edge Points of Presence, and network appliances worldwide, using both third-party infrastructure and Meta-built capacity. The Network Strategy & Data Analytics Lead develops digital infrastructure and terrestrial network strategies and drives investment recommendations. The role frames ambiguous strategic questions, combines network, market, supplier, operational, and financial evidence, and uses fit-for-purpose models to evaluate alternatives, test assumptions, and quantify tradeoffs. It spans strategy development, analytical problem solving, and executive decision support. The successful candidate works independently with directional guidance, exercises judgment in defining problems and methods, advises cross-functional partners on complex matters, and influences team priorities and investment decisions. This is a full-time position based in Meta’s Menlo Park, Denver, or Washington, D.C. offices, with remote work possible. Travel is up to 30% of the time, and may be greater for remote employees.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
At least 6 years of experience in network strategy, network planning, infrastructure investment, quantitative consulting, data analytics, or a related field.
At least 3 years of experience in strategy consulting, investment banking or research, or strategic planning with a telecommunications or subsea infrastructure focus.
Financial, economic, or network-modeling skills, including scenario and sensitivity analysis and the ability to test critical assumptions.
Experience using complex datasets and analytical tools such as SQL, Python, spreadsheets, or equivalent methods to investigate questions and support decisions.
Ability to synthesize market and technical data into strategic plans.
Written and verbal communication skills, including experience creating and delivering materials to senior audiences.

Nice To Haves

Experience integrating AI or automation tools into investment analysis, portfolio tracking, or workflow optimization to drive measurable efficiency gains.
Knowledge of backbone and long-haul fiber network concepts, including route design, IRU and lease structures, and the full capacity delivery lifecycle.
Experience with network capacity planning, demand forecasting, or traffic engineering fundamentals that inform investment sizing decisions.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and keeping current with emerging AI technologies.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience at a hyperscale technology company, major telecommunications carrier, or global network infrastructure provider.

Responsibilities

Lead development of long-term terrestrial network strategies that meet Meta’s capacity, reliability, scalability, efficiency, and business objectives.
Frame ambiguous network and investment questions by defining strategic options, decision criteria, critical assumptions, and the analysis needed to reach a recommendation.
Use network, demand, market, supplier, operational, and financial data to assess capacity gaps, investment timing, and strategic opportunities.
Build and challenge fit-for-purpose models, test critical assumptions, and ensure conclusions are reliable and decision-relevant.
Develop investment recommendations and business cases comparing alternatives across cost, risk, timing, optionality, reliability, and strategic fit.
Write concise, decision-ready documents that synthesize technical, commercial, operational, and financial evidence into narratives, tradeoffs, recommendations, and asks for senior leaders.
Use AI-assisted tools judiciously to accelerate research, modeling, analysis, and synthesis while validating outputs and retaining accountability for conclusions.
Build alignment across internal and external stakeholders, reconcile conflicting perspectives, clarify ownership, and drive decisions to closure.
Travel up to 30% of the time; travel may be greater for remote employees.