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Meta

Finance Manager, Infrastructure Data Center

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What they do

A Data Manager manages databases and coordinates data collection and analysis for a company or organization. Develops procedures for documentation and data storage. Performs or manages data analysis for studies, projects and reports.

$158,739 / year median in California

+6% projected growth

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Job Description

Meta is seeking a Finance Manager to join our Data Center Finance & Business Planning (FBP) team. FBP's mission is to enable Meta to plan, prioritize, and execute as effectively as possible. FBP brings an independent and objective perspective to the data and decisions that we support and always advocates for intellectual honesty. You will be responsible for supporting the Data Center team, which designs, builds, and operates our global data center infrastructure footprint for Meta. You will serve as the key liaison between Finance and the Data Center team and oversee issues related to data center strategy, design, cost profile, financial reporting & forecasting, and planning, i.e., resource prioritization and business management related to Meta's multi-billion-dollar investments. With a deep understanding of the business levers underlying the operations of our Data Center team, you will be responsible for helping the business to drive toward well-informed decisions.
Qualifications:
Understanding of infrastructure, semiconductor, telecom and/or related markets Experience building cross-functional relationships and partnering with senior leadership of organizations Analytical skills to translate large amounts of data into useful information Communication skills to tailor messaging as needed for audiences of varying levels of seniority and technical expertise Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 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) Familiarity in Infrastructure and/or Data Center construction & operations