Meta's Privacy Risk Assessment team plays a critical role in evaluating privacy risks across a wide range of initiatives, including product launches, partnerships, data integrations, and corporate transactions. In this role, you will lead privacy risk assessments across diverse workstreams, identifying data protection risks, evaluating privacy posture, and partnering with Legal, Policy, Engineering, and cross-functional teams to drive risk mitigation strategies. You will operate with a high degree of independence, exercising judgment across complex, time-sensitive initiatives where privacy risk intersects with regulatory compliance, product development, and business strategy.

Qualifications:

6+ years of experience in privacy program management, privacy compliance, risk management, or a related field with direct exposure to data protection or regulatory compliance Experience conducting privacy risk assessments, compliance reviews, or due diligence across product launches, partnerships, or corporate transactions Experience analyzing data practices, data flows, and privacy controls across complex technical environments and translating findings into structured risk assessments Experience working cross-functionally with Legal, Engineering, and Policy stakeholders to drive risk mitigation and decision-making in ambiguous, time-sensitive contexts Familiarity with global privacy regulations and frameworks, including GDPR, CCPA, or equivalent data protection laws Bachelor's Degree or equivalent experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience managing privacy risk assessments at a technology company, law firm, or consulting firm across diverse initiative types Experience using AI tools or automation to improve risk assessment workflows, documentation quality, or operational efficiency Familiarity with privacy-by-design principles and experience evaluating privacy controls in consumer-facing technology products or platforms Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Relevant privacy certifications such as CIPP, CIPM, or CIPT Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)