How SurveyMonkey Automated Privacy at Scale | Ethyca

SurveyMonkeyxEthyca

LearnhowSurveyMonkeytransformeditsprivacyoperationsbyautomatinggovernanceacrossfourpetabytesofsensitivedata—enablingfastercompliance,strongercross-teamcollaboration,andscalableinfrastructureforAI-driveninnovation.

WHITEPAPER DETAILS

SurveyMonkey & Ethyca:

Automating Privacy & Governance Across 4 Petabytes of Sensitive Data

As SurveyMonkey expanded into regulated sectors like financial services, healthcare, and government, the company faced a new challenge: how to enforce enterprise-grade privacy controls across four petabytes of sensitive data without slowing product velocity. Legacy workflows like hand-drawn data maps, manual DSARs, and spreadsheet-based RoPAs couldn’t scale to meet the demands of modern compliance or AI-readiness.

In this case study, learn how SurveyMonkey partnered with Ethyca to replace fragmented privacy practices with automated, auditable systems—cutting DSAR cycles from 7 days to 48 hours, eliminating reliance on OneTrust, and building a shared data governance language across engineering and legal teams. What began as a compliance upgrade became foundational infrastructure for safe, scalable data use in a rapidly evolving regulatory environment.

Whitepaper PARTICIPANTS

VP, Infrastructure & Security Engineering, SurveyMonkey

Craik Pyke

With nearly 30 years in enterprise infrastructure, Craik leads SurveyMonkey’s data architecture and privacy engineering initiatives. His team’s work with Ethyca elevated SurveyMonkey’s privacy standards to meet financial services-level expectations—without compromising development speed.

Principal Privacy Architect, SurveyMonkey

Mahesh Padmanabhan

Mahesh bridges engineering and legal teams at SurveyMonkey, driving the company’s privacy-by-design implementation. His leadership was key to replacing fragile, manual processes with structured, multi-tenant workflows in Fides that aligned technical reality with legal obligations.