Senior Director, Data Science - Security Analytics

Meta; Menlo Park (CA); On-site; USD 350,000 - 450,000; Full time

Job summary

Meta in Menlo Park is seeking an experienced analytics leader to build and run Security Analytics for Central Security. You will lead Data Science and Data Engineering as one integrated function and serve as the primary data partner to Meta's Chief Information Security Officer and his leadership team.

This is a high-impact role where you'll own the measurement system that informs where Meta is exposed, how controls perform, and where to invest next.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering or related field.
• 15+ years in analytics, data science, or data engineering with leadership.
• Experience leading Data Science and Data Engineering functions.

Responsibilities

• Lead the integrated Security Analytics function across DS and DE.
• Build measurement frameworks to drive executive decisions.
• Partner with CISO and leadership to align strategy, risk, and investments.

Skills

Analytics leadership

Data Science

Data Engineering

Security analytics

AI/LLM integration

Executive stakeholder management

Measurement systems

Education

Bachelor's degree in Computer Science

Bachelor's degree in Computer Engineering

Equivalent practical experience

Job description

Meta is seeking an experienced analytics leader to build and run Security Analytics for Central Security. You will lead Data Science and Data Engineering as one integrated function and serve as the primary data partner to Meta's Chief Information Security Officer and his leadership team. This is a high-impact, high-visibility leadership role where you'll turn Security's strategy, risk, and execution into a trusted data system for decisions.

Security is operating through a period of rapid change. AI is expanding the attack surface, agentic systems are changing how security work gets done, and leadership needs a clearer view of where Meta is exposed, whether controls work, and where to invest next. You'll own the measurement system that answers those questions.

The Challenge

• Create one integrated Security Analytics function that makes Meta's security posture legible and actionable across a fast-paced, rapidly evolving threat landscape
• Establish a persistent model of Security health that connects risk to controls, investment, and outcomes
• Build the DS and DE organization, standards, and data foundations needed to sustain it

Ideal Candidate

• A builder and scaler who thrives in extreme ambiguity — you have created measurement systems and operating models in undefined spaces, then scaled the teams and foundations behind them
• Leadership across DS + DE — you set one vision across insight, measurement, instrumentation, and data infrastructure, and you know where each discipline should lead
• Security, risk, and systems thinking — you reason from threats through controls to residual risk, distinguish activity from outcomes, and make uncertainty visible without making the output unusable
• AI-native leadership — you use AI to change how analytics and security work gets done, not just to make the existing process marginally faster

Executive presence with the credibility to shape the questions, not just answer them

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience15+ years of experience in analytics, data science, or data engineering, including 8+ years leading teamsExperience 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 decisionsExperience in Security, Integrity, Privacy, Infrastructure, or another technically deep risk domain — or demonstrated ability to ramp quickly and earn credibility in oneExperience partnering directly with senior executives and operating as a member of a leadership staffExperience building data platforms, instrumentation, and governed data products at scale Experience with security controls, threat modeling, or risk quantificationExperience applying AI/LLM-based systems to analytics workflows at scale