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.