Data Loss Prevention Analyst

Summary:

• The successful candidate will support tasks within the Data Protection Portfolio, such as provision of computing resources, installing and configuring security software managing network/firewall requests, account provisioning, backend integrations (SSO, SIEM, SOAR, MyAccess, Data Dog), and creation of support documentation for operationalization.

Key Responsibilities:

• Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats.
• Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization's risk appetite.
• Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems.
• Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability.
• Act as a domain expert and trusted partner in cybersecurity and able to work closely with stakeholders in technology and other business groups on cybersecurity engineering related matters.

Skillset (Must have):

• Possess a strong combination of technical and analytical skills in cybersecurity, including expertise in data loss prevention, data security posture management, enterprise digital rights management, and general data security technologies.

• Hands-on experience in implementing and operationalizing data security solutions and data protection, for both structured and unstructured data, specifically:

• Data discovery, classification, and labelling
• Data encryption, masking, tokenization
• Data Loss Prevention (DLP)
• Enterprise Digital Rights Management / Information Rights Management
• Privacy Enhancing Technologies and Confidential Computing
• Key and certificate management
• Hardware Security Modules (HSM)
• Access controls

• Secure file transfer and data store (including SaaS solutions)
• Familiarity with Cloud security and data security and protection in Cloud environments (e.g., AWS, Azure, Google Cloud).
• Possess scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API's and JSON.
• Ability to create and maintain automation scripts.
• Familiarity with Cloud security and data security and protection in cloud environments (e.g., AWS, Azure, Google Cloud).
• Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and build strong working relationships.
• Apply critical thinking skills to analyze complex security issues, evaluate potential solutions, and make well-informed decisions.
  
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