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Data Security Manager
Job in
281006, Aurangabad, Uttar Pradesh, India
Listed on 2026-06-21
Listing for:
Talentgigs
Full Time
position Listed on 2026-06-21
Job specializations:
-
IT/Tech
Data Security, Cybersecurity, Information Security, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Lead data security product management and protect sensitive and proprietary data across the
organization.
Key Focus Areas & Value Delivered:
* Own and manage enterprise data security technologies including:
➢ DSPM (Data Security Posture Management)
➢ DLP (Data Loss Prevention)
➢ Data discovery and classification platforms
* Define product strategy, roadmap, and lifecycle management for data security tooling
* Ensure optimal deployment, adoption, and continuous improvement of solutions
* Define and enforce enterprise-wide data classification frameworks
* Establish and maintain standards for data handling, storage, and protection
* Drive adoption of data labeling, encryption, masking, and tokenization practices
* Ensure consistency of policies across structured and unstructured data
* Lead prevention strategies for data leakage across endpoints, SaaS, cloud, and collaboration
platforms
* Monitor, investigate, and respond to data security incidents and breaches
* Establish playbooks for incident response, root cause analysis, and remediation
* Collaborate with SOC and IR teams to enhance detection and response capabilities
* Enable secure use of data across:
➢ Cloud platforms (AWS, Azure, GCP)
➢ SaaS applications (M365, Salesforce, etc.)
➢ Endpoints and collaboration tools
➢ AI/ML and GenAI platforms
* Balance security with business agility by implementing adaptive and risk-based controls
Act as a trusted advisor to engineering and business teams on secure data usage
What We’re Looking For
* 7+ years of experience in information/data security, with strong focus on data
protection
* Hands-on experience with DLP, DSPM, and data discovery tools (e.g., Microsoft
Purview, Symantec, Netskope, BigID, Varonis, etc.)
* Strong understanding of data classification, governance, and lifecycle management
* Experience investigating data leakage and breach incidents
* Familiarity with cloud and SaaS security models
* Strong knowledge of privacy regulations and compliance frameworks
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