Job Description

Data security posture management  

  • Discover and classify sensitive data (., PII, PHI, financial data) across all data stores, including databases, SaaS applications, and cloud storage. 
  • Assess data risk based on factors such as sensitivity, location, user access, and potential attack paths. 
  • Continuously monitor the data environment for vulnerabilities, misconfigurations, and non-compliant data handling practices. 
  • Enforce the Principle of Least Privilege by analyzing and managing data access permissions and entitlements to minimize the attack surface. 
  • Remediate identified data risks by automating or directing actions, such as adjusting permissions, quarantining critical assets, or encrypting information. 
  • Provide visibility into the data security landscape by creating reports and dashboards for stakeholders.

    • Data loss prevention  

  • Develop, configure, and maintain DLP policies and rules across various channels, including email, web, endpoints, and cloud applications. 
  • Monitor DLP alerts and investigate potential data leakage incidents and policy violations. 
  • Analyze DLP incidents to identify root causes and patterns of data exfiltration. 
  • Perform tuning of DLP policies to reduce false positives and improve the accuracy of sensitive data detection. 
  • Collaborate with incident response teams to contain and resolve data security incidents promptly. 
  • Work with data owners and business units to understand their data handling needs and refine DLP policies accordingly.

    • Compliance and strategy  

  • Ensure the organization's data protection practices align with regulatory requirements, such as GDPR and DORA.
  • Generate audit-ready reports and compliance assessments to demonstrate adherence to relevant standards. 
  • Help define and contribute to the broader enterprise data protection strategy, considering the entire data lifecycle. 
  • Educate employees and stakeholders on data security best practices to foster a security-conscious culture. 
  • Stay up to date with emerging data security trends, threats, and technologies, including securing AI and LLM training data.

    • Qualifications  

  • Education : A bachelor's degree in computer science, information security, or a related field is typically required. 
  • Experience : Several years of hands-on experience working with DLP and DSPM technologies in an information security role. 

    • Technical skills : 

  • Experience with DSPM platforms (., Wiz, Prisma Cloud, BigID). 
  • Proficiency with enterprise DLP solutions (., Microsoft Purview, Symantec, Forcepoint). 
  • Familiarity with cloud platforms such as AWS and Azure.
  • Experience with SIEM tools for security event analysis. 
  • Understanding of data encryption, access controls, and network protocols. 

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