AI Data Security Engineer

Madison-Davis, LLC; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Madison-Davis, LLC is seeking a senior, hands-on AI Data Security Engineer to strengthen enterprise data protection across cloud systems, enterprise platforms, and AI-enabled technologies. You will implement controls, automate security processes, and lead incident investigations.

The role focuses on data classification, data protection, and continuous security improvement in a banking/financial services context. On-site presence four days weekly is required.

Qualifications

• Strong hands-on data security engineering experience.
• Enterprise DLP and Microsoft Purview expertise.
• SIEM monitoring and investigation experience.
• Python automation for security processes.

Responsibilities

• Build and operate enterprise data security controls.
• Configure and optimize Microsoft Purview DLP policies.
• Implement controls to reduce sensitive-data exposure through AI-enabled technologies.
• Improve SIEM monitoring, detection, and security investigation workflows.
• Collaborate with security operations teams on data security incidents.
• Develop Python automation for security processes.
• Implement and support AWS data security controls.
• Contribute to data classification, data protection, and continuous security improvement.

Skills

Data security engineering

SIEM monitoring

Python automation

AWS security

AI data security

Tools

Microsoft Purview

Job description

A financial services organization is seeking a senior, hands‑on AI Data Security Engineer to develop and strengthen enterprise data protection capabilities. The position focuses on protecting sensitive information across cloud systems, enterprise platforms, and AI-enabled technologies. Responsibilities span security control implementation, automation, monitoring, and incident investigation.

RESPONSIBILITIES

• Build and operate enterprise data security controls
• Configure and optimize Microsoft Purview DLP policies
• Implement controls to reduce sensitive-data exposure through AI-enabled technologies
• Improve SIEM monitoring, detection, and security investigation workflows
• Collaborate with security operations teams on data security incidents
• Develop Python automation for security processes
• Implement and support AWS data security controls
• Contribute to data classification, data protection, and continuous security improvement

Role Requirements

• Strong hands‑on data security engineering experience
• Enterprise DLP and Microsoft Purview expertise
• SIEM monitoring and investigation experience
• Python security automation capabilities
• Practical AWS security experience
• Experience addressing AI-related data security risks
• Security operations incident collaboration
• Banking or financial services experience
• Ability to work onsite four days weekly

PREFERRED EXPERIENCE

• DSPM implementation or operations
• Data masking technologies
• Azure security exposure
• Additional DLP platforms
• Relevant cybersecurity certifications