Beschreibung

In this role, you will focus on ensuring sensitive data is properly classified and protected. Your day-to-day responsibilities will involve analyzing requirements, developing policies, and collaborating with teams to enhance data security across the organization.

Anforderungen

• •Bachelor’s degree in cyber security, Information Technology, Computer Science, or equivalent experience
• •Proven hands-on experience configuring and managing DLP and data classification platforms
• •Experience with data classification and labelling, governance, discovery, and behaviour analytics
• •Experience managing security incidents, especially data leakage investigations
• •Ability to translate security and compliance requirements into actionable technical controls
• •Professional certifications such as CISSP, or vendor-specific DLP credentials
• •Experience with cloud security in Microsoft 365 and Azure environments
• •Strong expertise in Data Loss Prevention (DLP) topics
• •Analytical thinker with strong problem-solving skills and attention to detail
• •Highly responsive, energetic, and enthusiastic
• •Proactive and resourceful, capable of identifying issues and proposing practical solutions
• •Highly organised, able to manage multiple cases and priorities simultaneously
• •Strong analytical skills, attention to detail, and ability to work in a high-pressure environment
• •Ethical and trustworthy, demonstrating discretion in handling sensitive data and investigations
• •Collaborative team player who contributes to a positive security culture within the organisation

Aufgaben

• •Analyze business requirements and regulatory constraints
• •Determine data classification and protection needs
• •Develop and maintain a data classification framework
• •Collaborate with business owners for accurate data mapping
• •Design and implement data labeling and protection policies
• •Create and maintain automated policies for data discovery
• •Configure DLP tools to enforce data classification standards
• •Optimize DLP systems to reduce false positives
• •Manage daily DLP alerts and cases for timely resolution
• •Provide metrics and insights on DLP activity to leadership
• •Conduct training sessions to promote best practices in data handling

Tools & Technologien