Job Description

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.

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.

#LI-AO1

#LI-REMOTE

Pay Range

For Poland based positions, Annual Salary Range:284 800,00PLN-391 600,00PLN

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.

Benefits & Rewards

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

Additional Information

Relocation Assistance Provided: No