高级总监，数据科学 - 安全分析

CISO — translate Security's highest-priority questions into an analytics strategy, bring independent judgment to leadership decisions, and give a clear read on what is working, what is not, and what should change.

Build a durable view of Security health across Residual Risk and Friction: the risk remaining after controls, and the cost those controls impose on Meta's builders, products, and users.

Enable posture comparison over time as threats, technologies, and controls evolve — surfacing where stronger security improves outcomes versus where it creates avoidable friction.

Identify which controls are most problematic and why (coverage, effectiveness, performance, adoption, developer and user experience), and use that evidence to determine which controls should be redesigned, expanded, automated, or retired.

Build the logging, instrumentation, semantic definitions, pipelines, and governed data products that make Security analytics trustworthy and AI-ready.

Enable product and engineering teams across Meta to identify risk, understand the controls that apply, and self-serve mitigations in their own technology stacks.

Set one strategy and operating model across Data Science and Data Engineering, and develop the team, metrics map, dashboard suite, and operating rhythm that make data a routine input to Security strategy and resource allocation.

Build strong relationships with XFN partners across Security, Infrastructure, Product, and Engineering orgs.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

15+ years of experience in analytics, data science, or data engineering, including 8+ years leading teams

Experience leading both Data Science and Data Engineering functions (or demonstrated ability to set strategy across both)

Experience building measurement frameworks and metrics systems that drive executive-level decisions

Experience in Security, Integrity, Privacy, Infrastructure, or another technically deep risk domain — or demonstrated ability to ramp quickly and earn credibility in one

Experience partnering directly with senior executives and operating as a member of a leadership staff

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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.

Learn more about benefits at Meta.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

15+ years of experience in analytics, data science, or data engineering, including 8+ years leading teams.