[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Meta Platforms · Menlo Park, CA # Senior Director, Data Science - Security Analytics Menlo Park, California, US Full-time Director Data & Analytics Listed on Meta Platforms’s official careers site. Posted October 26, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1562937885878755/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Senior Director, Data Science - Security Analytics ## 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 ## Responsibilities Serve as the analytics partner to Meta's 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. ## Qualifications - 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 Experience building data platforms, instrumentation, and governed data products at scale Experience with security controls, threat modeling, or risk quantification Experience applying AI/LLM-based systems to analytics workflows at scale ## At a glance - Posted by the employer: Oct 26, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 6 days - Location: Menlo Park, California, US - Employment type: Full-time[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1562937885878755/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Manager, Network Deployment & Support](https://jobs.opennash.com/companies/meta-platforms/jobs/7a0bd4f20f47b49471a3/) Menlo Park, California, US ### [Business Lead, Enterprise Products](https://jobs.opennash.com/companies/meta-platforms/jobs/06773baeb06c555d8bd3/) Menlo Park, California, US ### [Corporate Development Deal Lead](https://jobs.opennash.com/companies/meta-platforms/jobs/7f8b107763a5c282a1f5/) Menlo Park, California, US ### [Finance Manager, Infrastructure Deals](https://jobs.opennash.com/companies/meta-platforms/jobs/94b10f57001ac53b752e/) Menlo Park, California, US ### [Finance and Business Operations Manager, Marketing](https://jobs.opennash.com/companies/meta-platforms/jobs/411e4aedb952ad2d44d5/) Menlo Park, California, US ## Similar jobs at other companies ### [Executive Director, Agentic Product Data Science](https://jobs.opennash.com/companies/jpmorganchase/jobs/97d2e76a0a5dd6de9237/) JPMorganChase · New York, NY, United States ### [Director - Genomics Data Science](https://jobs.opennash.com/companies/eli-lilly/jobs/6f5f77460b9cdf8b81cf/) Eli Lilly · Boston, Massachusetts, United States of America ### [Senior Director of Data Science – Data Analytics in Arlington, Texas, United States](https://jobs.opennash.com/companies/dr-horton/jobs/139e9c09952c135e98c1/) D.R. 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