Network Strategy & Data Analytics Lead
Listed on 2026-11-02
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Manufacturing / Production
Systems Engineer, AI Business & Operations
Do you want to work on one of the largest, most dynamic, fast-paced networks in the world? Do you want to develop and deploy innovative solutions to our network capacity challenges and influence the industry/ecosystem's evolution?
You’ll have a unique opportunity to shape the development of one of the world’s largest, global and most innovative fiber networks. Meta’s network has grown significantly over the last 10 years and we expect to more than double the footprint in the next few to support our existing 3+ billion customers and enable new services. You will have the opportunity to work cross‑functionally with our broader Network Engineering team to tackle these hard and long term network infrastructure problems to deliver network capacity at scale.
Whowe are
Network Investments' mission is to scale Meta's network infrastructure to enable the evolution of social technologies. Specifically, we invest in and develop complex subsea cables and terrestrial networks to connect Meta’s data centers (DCs), Edge Points of Presence (PoPs) and Meta Network Appliances across the globe. We source or invest in third‑party infrastructure and develop Meta’s own‑build subsea cables and terrestrial fiber capacity.
We are seeking a Network Strategy & Data Analytics Lead to develop digital infrastructure and terrestrial network strategies and drive investment recommendations. You will frame ambiguous strategic questions, combine network, market, supplier, operational, and financial evidence, and use fit‑for‑purpose models to evaluate alternatives, test assumptions, and quantify tradeoffs. The role requires the flexibility to move between strategy development, analytical problem solving, and executive decision support.
An ideal person for this role is a strategic, analytically‑rigorous thinker with experience in telecoms and developing global digital connectivity solutions who thrives in fast‑paced, ambiguous and cross‑functional environments. Successful candidates will operate independently with directional guidance, exercise judgment in defining problems and selecting methods, advise cross‑functional partners on complex matters, and influence team‑level priorities and investment decisions.
This position is full time and based in our Menlo Park, Denver or WDC offices [remote possible]. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of experience in network strategy, network planning, infrastructure investment, quantitative consulting, data analytics, or a related field3 years of experience in strategy consulting, investment banking/research, strategic planning with telecommunications or subsea infrastructure focus
Previous experience with 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
Analytical skills and ability to synthesize market and technical data into strategic plans
Written and verbal communication skills, and experience creating and delivering to senior audiences 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 (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience at a hyperscale technology company, major telecommunications carrier, or global network infrastructure provider
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