Staff Cyber Security Engineer – AI Data Protection

🔥 59 minutes ago

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GE HealthCare

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1892

💊 Pharmaceuticals

Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

📋 Description

• 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. • 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. • 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. • 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. • 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.

🎯 Requirements

• Bachelor’s degree in computer science or STEM Majors (Science, Technology, Engineering and Mathematics) with advanced technical experience. • 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. • 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. • 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.

🏖️ Benefits

• 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