Network Strategy & Data Analytics Lead
Denver, CO · FlexibleFull-time$135–191K/yrSeen todaySeen in employer's feed today
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Job overview
Meta seeks a Network Strategy & Data Analytics Lead to develop terrestrial network strategies and investment recommendations for its global infrastructure. The role combines strategic problem framing, quantitative analysis, modeling, and executive decision support, drawing on network, market, supplier, operational, and financial evidence. The position is full time and based in Menlo Park, Denver, or WDC offices, with remote work possible.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
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.Who we areNetwork 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].
Required Skills:
Network Strategy & Data Analytics Lead Responsibilities:
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Lead development of long-term terrestrial network strategies that meet Meta’s capacity, reliability, scalability, efficiency, and business objectives
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Frame ambiguous network and investment questions by defining strategic options, decision criteria, critical assumptions, and the analysis required to reach a recommendation
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Use network, demand, market, supplier, operational, and financial data to assess capacity gaps, investment timing, and strategic opportunities
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Build and challenge fit-for-purpose models, test critical assumptions, and ensure conclusions are reliable and decision-relevant
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Develop investment recommendations and business cases that compare alternatives across cost, risk, timing, optionality, reliability, and strategic fit
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Write clear, concise, decision-ready documents that synthesize complex technical, commercial, operational, and financial evidence into coherent narratives, explicit tradeoffs, recommendations, and asks for senior leaders
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Use AI-assisted tools with sound judgment to accelerate research, modeling, analysis, and synthesis while validating outputs and retaining accountability for conclusions
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Build alignment across internal and external stakeholders, reconcile conflicting perspectives, clarify ownership, and drive decisions to closure
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Travel up to 30% of time
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greater if remote
Minimum Qualifications:
Minimum Qualifications:
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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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6+ years of experience in network strategy, network planning, infrastructure investment, quantitative consulting, data analytics, or a related field
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3 years of experience in strategy consulting, investment banking/research, strategic planning with telecommunications or subsea infrastructure focus
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Previous experience with financial, economic, or network-modeling skills, including scenario and sensitivity analysis and the ability to test critical assumptions
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Experience using complex datasets and analytical tools such as SQL, Python, spreadsheets, or equivalent methods to investigate questions and support decisions
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Analytical skills and ability to synthesize market and technical data into strategic plans
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Written and verbal communication skills, and experience creating and delivering to senior audiences
Preferred Qualifications:
Preferred Qualifications:
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Experience integrating AI or automation tools into investment analysis, portfolio tracking, or workflow optimization to drive measurable efficiency gains
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Knowledge of backbone and long-haul fiber network concepts including route design, IRU and lease structures, and the full capacity delivery lifecycle
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Experience with network capacity planning, demand forecasting, or traffic engineering fundamentals that inform investment sizing decisions
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Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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Experience at a hyperscale technology company, major telecommunications carrier, or global network infrastructure provider
Public Compensation:
$135,000/year to $191,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
How this job compares
Set against the 2,436 open Data Analytics jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$135–191K/yr
- Colorado median$127–198K/yr43 salary ranges
- US median$116–195K/yr1,685 salary ranges
This range's midpoint, $163K, is close to the Colorado median midpoint ($165K) — in the middle half of Data Analytics salary ranges in Colorado.
- Openings
- Olive Jobs lists 55 open Data Analytics jobs in Colorado and 2,436 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in Colorado
- CDM Smith5 open
- Vizient, Inc4 open
- USAA3 open
- Experience
- This posting asks for at least 6 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,931 postings).
- Education
- 1,152 of the 2,436 open Data Analytics jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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