Drimva

Meta

Senior Director, Data Science - Security Analytics

$314K–$361K

Menlo Park, CA · Director · Full-time · Posted Oct 26, 2026

Experience
15+ years in analytics, data science, or data engineering, including 8+ years leading teams.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

About the job

Leads Meta’s Central Security analytics organization, building a unified Data Science and Data Engineering function and measurement system to inform security strategy, risk, controls, and investment decisions.

What you'll do

  • Partner with Meta’s CISO and leadership team to translate priority questions into analytics strategy and decision support.
  • Build a durable Security health measurement system that connects residual risk, controls, outcomes, and friction over time.
  • Establish the Data Science and Data Engineering operating model, team, instrumentation, pipelines, and governed data products.

What they ask for

  • 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 executive decision-making measurement systems, partnering with senior executives, and applying AI/LLM-based systems to analytics workflows at scale.

Nice to have

  • Experience in Security, Integrity, Privacy, Infrastructure, or another technically deep risk domain, or demonstrated ability to ramp quickly and earn credibility in one.
  • Experience with security controls, threat modeling, or risk quantification.

Pay

$314,000/year to $361,000/year USD base salary; bonus and equity amounts not specified.

Tools

Data Science, Data Engineering, AI/LLM-based systems

AI focus

Apply AI to change how analytics and security work gets done; build AI-ready security data products and apply AI/LLM-based systems to analytics workflows at scale.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)