Role Overview
We are seeking an experienced Data Loss Prevention (DLP) SME to support the
design, implementation, and optimisation of enterprise DLP capabilities. The ideal
candidate will have strong hands-on expertise in Microsoft Purview DLP and Zscaler
DLP, with additional knowledge of Microsoft Defender for Cloud Apps / Defender DLP
considered a significant advantage.
The role requires a deep understanding of data protection controls, cloud and network
security, governance, and best-practice standards. The successful candidate will
operate as the technical authority for DLP, guiding solution design, policy configuration,
integration activities, and ongoing operational improvements.
Key Responsibilities
• Lead the design, configuration, deployment, and optimisation of DLP solutions
across the enterprise.
• Act as the SME for Microsoft Purview DLP and Zscaler DLP, providing expertise
across email, endpoint, cloud, and network channels.
• Support the development and enhancement of DLP policies, rules, and
monitoring use cases aligned to business data-protection requirements.
• Advise security architects, engineering teams, and business stakeholders on
best-practice DLP implementation and data classification alignment.
• Conduct deep-dive analysis and tuning to reduce false positives and improve
policy effectiveness.
• Work closely with SOC and Cyber Operations teams to support incident
response, including triage, investigation, and remediation of DLP alerts.
• Provide leadership on DLP governance, reporting, metrics, and continuous
improvement initiatives.
• Assist in producing technical documentation, runbooks, architectural designs,
and operational procedures.
Required Skills & Experience
• Proven experience as a DLP SME or similar senior data-protection role.
• Strong hands-on expertise with Microsoft Purview DLP (policies, sensitive
information types, endpoint DLP, cloud apps, insider risk alignment).
• Extensive experience with Zscaler DLP, including policy creation, endpoint
integrations, and cloud/SaaS data-flow analysis.
• Solid understanding of enterprise data flows, cloud architectures, and
data-classification frameworks.
• Ability to troubleshoot complex DLP policy behaviours across multiple
platforms.
