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Home / Senior Manager, Information Security

Senior Manager, Information Security

  • Full Time
  • Anywhere

About Saviynt

Saviynt

Saviynt’s AI-powered identity platform manages and governs human and non-human access to all of an organization’s applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

About the Role

Saviynt is seeking a security professional to join its Information Security team as a Senior Manager. In this role, you will own and drive the strategy, implementation, and governance of the organization’s cloud security, data security and AI security initiatives. You will collaborate closely with engineering, product, HR, support and other cross-functional teams to embed
security across the enterprise and protect Saviynt’s data assets in an AI-driven and cloud-first environment

Key Responsibilities

● Design, deploy, and continuously improve enterprise DLP solutions across endpoints, email, cloud environments, and enterprise SaaS applications. Own tooling, policy tuning, incident response workflows, and effectiveness reporting to senior leadership
● Develop and enforce data classification policies, data handling standards, and acceptable use guidelines for generative AI and third-party services, aligned with regulatory requirements (GDPR, SOC 2, ISO 27001, ISO 42001)
● Conduct data flow mapping, risk assessments, and third-party data handling reviews to identify how Saviynt’s internal and customer data is collected, processed, stored, and transmitted and ensure remediation of exposure gaps across the data lifecycle
● Own the DSPM program to continuously discover, classify, and monitor sensitive data across cloud environments and AI and SaaS applications. Drive remediation of misconfigurations, shadow data, unprotected storage, and over-privileged access
● Integrate DSPM insights with broader security operations to maintain a unified data risk posture, and define data access policies in partnership with IAM/IGA teams to enforce least-privilege principles
● Provide cloud security architecture guidance across multi-cloud environments (AWS,Azure, GCP) covering IaaS, PaaS, and SaaS; conduct security assessments of externally consumed SaaS applications, AI applications and internally deployed workloads to evaluate architectural risks and data security control gaps
● Define and drive the enterprise AI Security and Governance strategy, establishing policies, risk frameworks, and controls for the secure and responsible adoption of AIte chnologies and platforms including generative AI, LLM-based applications, and third-party AI based SaaS services.
● Conduct AI security assessments evaluating risks while ensuring alignment with emerging frameworks and regulations (OWASP LLM Top 10, NIST AI RMF, EU AI Act, ISO 42001).
● Define and track KPIs for Data Security, Cloud Security and AI Security initiatives and report on overall data security posture, risk trends, and program progress to senior leadership and key stakeholders

Qualifications & Experience

● Bachelor’s or Master’s degree in Computer Science, Information Security, or a 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.

To apply for this job please visit jobs.lever.co.

Working in Bengaluru, India

Bengaluru, also known as Bangalore, is the capital and largest city of the southern Indian state of Karnataka. As per the 2011 census, the city had a population of 8.4 million, making it the third most populous city in India and the most populous in South India. The Bengaluru metropolitan area had a population of around 8.5 million, making it the fifth most populous urban agglomeration in the country. It is located towards the southern end of the Deccan Plateau, at an altitude of 900 m (3,000 ft) above sea level. The city is known as India's "Garden City", due to its parks and greenery.

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