AI Security & Data Protection Lead

The Depository Trust & Clearing Corporation (DTCC)

Jersey City (NJ)

Hybrid

USD 150,000 - 210,000

Full time

6 days ago
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Benefits offered by this job

Health and Life Insurance
Pension / Retirement
Hybrid work model (3 days onsite, 2远 远

Job summary

DTCC in Jersey City, NJ, seeks an Associate Director, AI Security & Data Protection Engineering to lead the design and implementation of data protection across AI platforms and cloud environments.

You will partner with Cybersecurity, Enterprise Architecture, and Cloud teams to define controls for AI adoption while protecting DTCC's sensitive information, including AI-aware DLP, automated classification, labeling, and secure development practices.

Qualifications

  • Bachelor's Degree in Computer Science, Information Security, Engineering, or related discipline, or equivalent experience.
  • Minimum 8 years of experience in cybersecurity, data protection, information security, or security engineering.
  • Minimum 3 years leading complex technical initiatives or security programs.
  • Experience delivering security solutions within financial services or regulated industry preferred.

Responsibilities

  • AI Security Architecture & Technical Leadership.
  • Data Protection Engineering.
  • AI Security Controls & Governance.
  • Platform Integration & Engineering Delivery.
  • AI Threat Analysis, Detection & Continuous Improvement.
  • Program Leadership & Stakeholder Engagement.

Skills

AI Security
Data Protection
Security Architecture
Cloud Security
Encryption & Keys
Governance

Education

Bachelor's Degree in CS/Info Sec/Engineering

Tools

DLP tools
DSPM tools

Job description

DTCC in Jersey City, NJ, seeks an Associate Director, AI Security & Data Protection Engineering to lead the design and implementation of data protection across AI platforms and cloud environments.

You will partner with Cybersecurity, Enterprise Architecture, and Cloud teams to define controls for AI adoption while protecting DTCC's sensitive information, including AI-aware DLP, automated classification, labeling, and secure development practices.

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