Own and drive the strategy, implementation, and governance of the organization's cloud security, data security and AI security initiatives.
Collaborate closely with engineering, product, HR, support and other cross-functional teams.
Design, deploy, and continuously improve enterprise DLP solutions across endpoints, email, cloud environments, and enterprise SaaS applications.
Develop and enforce data classification policies, data handling standards, and acceptable use guidelines for generative AI and third-party services.
Conduct data flow mapping, risk assessments, and third-party data handling reviews.
Own the DSPM program to continuously discover, classify, and monitor sensitive data across cloud environments.
Integrate DSPM insights with broader security operations to maintain a unified data risk posture.
Provide cloud security architecture guidance across multi-cloud environments (AWS, Azure, GCP).
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Security, or related field or equivalent work experience with demonstrated results.
10+ years of experience in working in the information security space.
Strong understanding of cloud security, data security and AI security.
In-depth knowledge of AWS, Azure or GCP Cloud Platform with strong understanding of security principles, standards, and frameworks (e.g., NIST, CIS, ISO 27001, SOC 2, GDPR, ISO 42001) as applied to cloud environments.
Proficiency in scripting and automation (Python, PowerShell, Bash, or similar), including hands-on experience building AI Agents and Agentic Workflows to automate data security operations.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
Benefits
Complete security & privacy literacy and awareness training during onboarding and annually thereafter
Equal opportunity employer welcoming everyone
Senior Manager, Information Security at Saviynt | JobVerse