Staff Cyber Security Engineer – AI Data Protection

Roles and Responsibilities:

In this role as part of the global Cyber Data Protection team you will:

Platform Ownership DLP for AI Threats -

• Own and operate the AI DLP platform including administration configuration policy management tuning upgrades deployments and platform health.
• Engineer and deploy DLP and AI protection capabilities across endpoint cloud mobile and network environments.
• Maintain detection policies risk scoring thresholds baselines operational metrics and the service roadmap.
• Evaluate emerging DLP and AI security technologies through proof-of-concepts and platform assessments.
• Manage vendor performance SLAs incident resolution and end-user issue triage through to closure.

AI Security & DLP Risk Management -

• Assess and manage AI-related data protection risks across Cyber IT and business teams.
• Evaluate emerging AI platforms for DLP privacy and compliance risks and recommend appropriate controls.
• Define and implement AI guardrails to prevent data leakage policy violations and unsafe usage.
• Partner with AI enablement and governance teams to align solutions with data protection requirements.
• Monitor AI threats including LLM generative AI and shadow AI risks.

Technical Engineering & Automation -

• Automate DLP workflows triage and integrations using Python PowerShell KQL and Bash.
• Build Azure automation SIEM queries dashboards and alerts using Logic Apps Azure Functions Automation Accounts KQL and Microsoft Sentinel.
• Support Windows and Mac endpoints for DLP deployment enforcement and troubleshooting.
• Apply cloud security controls across Azure AWS M365 IaaS PaaS and SaaS environments.

AI Enablement & Awareness -

• Stay current on AI developments tools agentic frameworks and monitoring platforms relevant to data protection.
• Guide internal teams on the secure use of AI within IT and Cyber operations.
• Champion responsible AI adoption by identifying security gaps and recommending risk-based controls.

Stakeholder Engagement & Collaboration -

• Partner with DLP Cyber AI and IT stakeholders to align platform capabilities with business priorities.
• Communicate platform status risks roadmap and priorities clearly to leadership and stakeholders.

Education Qualification:

Bachelors degree in computer science or STEM Majors (Science Technology Engineering and Mathematics) with advanced technical experience.

Desired Characteristics:

Technical Expertise -

• Experience owning enterprise DLP or data protection platforms including Microsoft Purview Defender Sentinel or similar tools.
• Hands-on knowledge of AI security tools agentic AI frameworks and AI monitoring platforms.
• Proficiency in Python PowerShell Bash KQL SIEM analytics and Azure automation.
• Strong understanding of cloud security AI/ML risk privacy compliance identity networking endpoints and infrastructure security.
• Knowledge of CI/CD DevSecOps agile delivery and relevant cyber security certifications is beneficial.

Leadership & Collaboration -

• Able to collaborate across Cyber IT business and vendor teams in a global environment.
• Strong communicator who can influence stakeholders and present clearly to technical and leadership audiences.
• Experience managing vendors SLAs priorities and mentoring junior team members.

Personal Attributes -

• Self-starter who takes ownership learns quickly and stays current on AI and data protection trends.
• Able to manage competing priorities drive multiple workstreams and proactively address risk.

Note:
This Job Description is intended to provide a high level guide to the role. However it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

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Placement within this range depends on:

• Relevant skills and qualifications

• Prior job-related experience

• Internal equity considerations (alignment with colleagues in similar roles) e.t.c.

We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.

In addition to base salary our employees have access to a comprehensive package of benefits and allowances which may include:

• Health & wellness coverage

• Retirement and or savings plans

• Allowances or benefits to support role requirements (e.g. mobility transport or role-specific needs such as a company car or allowance where applicable)

• Work-life balance support (e.g. flexible working leave programs)

• Recognition and incentive programs aligned with performance and company success

The exact benefits package depends on the role location and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.

• Performance Bonus: Details to be shared during offer discussions

Relocation Assistance Provided: No