Senior Director, Data Science - Security Analytics

Meta • Menlo Park, CA

1d • $314,000 - $361,000

About The Position

Meta is seeking an experienced analytics leader to build and run Security Analytics for Central Security. The role leads Data Science and Data Engineering as one integrated function and serves as the primary data partner to Meta’s Chief Information Security Officer and leadership team. The position will turn Security strategy, risk, and execution into a trusted data system for decision-making, helping leadership understand Meta’s exposure, whether controls work, and where to invest.

The Senior Director will establish a persistent model of Security health that connects risk to controls, investment, and outcomes. They will build the organization, standards, and data foundations needed to sustain Security Analytics amid rapid change, including AI-driven changes to the attack surface and agentic systems. The role combines executive partnership, organizational leadership, measurement strategy, and the development of scalable analytics and data infrastructure.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, a 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.
• Experience building data platforms, instrumentation, and governed data products at scale.

Nice To Haves

• Experience with security controls, threat modeling, or risk quantification.
• Experience applying AI/LLM-based systems to analytics workflows at scale.

Responsibilities

• Serve as the analytics partner to Meta’s CISO by translating Security’s highest-priority questions into an analytics strategy, bringing independent judgment to leadership decisions, and clarifying 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 costs those controls impose on builders, products, and users.
• Enable posture comparisons over time as threats, technologies, and controls evolve, identifying where stronger security improves outcomes and where it creates avoidable friction.
• Identify problematic controls and their causes, including coverage, effectiveness, performance, adoption, and developer or user experience; use evidence to determine which controls to redesign, expand, automate, or retire.
• Build 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 applicable controls, and self-serve mitigations in their technology stacks.
• Set a unified 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 cross-functional relationships across Security, Infrastructure, Product, and Engineering organizations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior