隐私数据分析师，证据与监控

Own the data model understanding end-to-end; identify and recommend reporting remediation or schema changes when compliance processes shift

Establish expertise across a system that's focused on reviewing and mitigating product risks

Monitor KCIs to ensure system effectiveness and drive incremental improvement of associated controls

Ensure a complete and comprehensive representation of Meta's compliance framework to both internal and external stakeholders as needed

Build and execute complex Presto/Hive population queries for regulator requests (population requests, sample requests, information requests, follow-ups)

Respond to regulatory queries and partner with compliance partners and other stakeholders to develop and/or respond to gap analysis language, respond to regulator evidence requests by producing correct, reproducible artifacts with proof anyone can audit

Explain and rationalize compliance and risk decisions to external stakeholders including auditors and regulators

Provide feedback to tooling and platform stakeholders aimed at improving the accuracy and efficiency of the system's outcomes

Able to explain and create code and objects as needed (e.g., Python) for evidence and tooling

Experience communicating cross-functionally, particularly in the area of consensus-building and persuasion

Flexibility to respond and change quickly to vague, uncertain, frequently changing requests

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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 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 adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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4+ years of experience with regulatory/compliance/audit exposure in an analytical role.

Familiarity with SQL, scripting languages (e.g., Python), and AI for compliance.

Demonstrated analytical thinking and problem-solving experience.

Able to explain and create code and objects as needed (e.g.