Vivek Agarwal

About Vivek Agarwal

I build the governance systems that keep AI products safe at scale.As Privacy & AI Risk Program Manager at Meta, I own Privacy & AI risk governance across meta\'s portfolio of product protecting 3.2 billion daily active users. I architected Meta\'s AI risk observability platform, drove EU AI Act compliance, and led the governance board that approved 15+ high-risk AI deployments with zero post-approval regulatory escalations.Before Meta, I led a 30-person team at American Express navigating Federal Reserve, OCC, and FFIEC examinations closing 100+ corrective action plans and reducing open regulatory findings by 80%.What I bring:→ AI risk observability & KRI dashboards | EU AI Act | Responsible AI→ LLM red-teaming & guardrails | Agentic AI oversight→ GDPR · CCPA · GLBA · HIPAA | Third-party risk at scale vendors)→ FTC · Federal Reserve · OCC regulatory experienceCertifications: AIGP · FIP · CIPP/US · CIPT · FRM · SAS Certified Data ScientistPublished author — Invisible Threats: Securing Privacy in the Era of Third-Party RelationshipsBoard Member — IAPP Advisory Board | Washington State Bar Disciplinary CommitteeMember — NIST Privacy Workforce Public Working Group

Experience

1. Privacy Program Manager

   Meta

   Aug 2022 — Present · Seattle, WA, US

   Own Privacy & AI risk governance across Meta\'s full product portfolio — Facebook, Instagram, WhatsApp, Messenger, Meta Quest, and the Llama and Avocado AI model families covering 3.2 billion daily active users.Key impact:• Architected Meta\'s AI risk observability platform, cutting mean time to escalation from 5 days to same-day; reduced incident response time by 70%• Drove EU AI Act compliance readiness: classified 40+ AI systems, authored control specs for all high-risk designations completed 6 months ahead of enforcement deadlines• Built Meta\'s generative AI red-teaming program for Instagram Reels, WhatsApp AI, and Llama-based tools reduced policy violation incidents by 62%• Redesigned risk intake workflow, cutting assessment cycle time from 10 days to under 4 hours via automation• Led Privacy & AI Governance Board — voted on 15+ high-risk third-party AI and autonomous agent deployments; zero post-approval regulatory escalations• Managed 20-person XFN team; embedded privacy-by-design gates reducing post-launch remediation tickets by 45% YoY

Education

• Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

  Bachelor of Technology - BTech, Information Technology

  2007 — 2011

• Western Governors University

  MS, Artificial Intelligence

  2018 — 2019