Job Description Summary

This role sits within GE HealthCare’s Cyber Data Protection team and owns the Data Loss Prevention (DLP) platforms used to manage AI-related data risks.

The successful candidate will work across Cyber and IT teams to secure enterprise AI adoption, reduce data leakage risk, and enable responsible AI use.

This hands-on engineering role requires expertise in AI technologies, automation, cloud, network, and SIEM platforms.

 

Job Description

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:

Bachelor’s 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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