AI Data Protection - Associate Director

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role:

Being a member of IT Cybersecurity & Platform Engineering team, the Associate Director, AI Security & Data Protection Engineering serves as a technical leader responsible for designing, implementing, and scaling DTCC’s data protection capabilities across AI platforms, GenAI services, agentic workflows, cloud environments, and enterprise collaboration channels.

The role combines deep expertise in data protection, security architecture, AI risk management, and engineering leadership to ensure sensitive information is appropriately governed throughout the AI lifecycle. The successful candidate will partner closely with Cybersecurity, Enterprise Architecture, Cloud Engineering, Data Management, and Application Development teams to define and implement technical controls that enable AI adoption while protecting DTCC’s most sensitive information.

This position will lead the design and implementation of controls including AI-aware DLP, automated classification and labeling, AI security guardrails, DSPM integrations, data access governance, prompt and response protections, model interaction controls, and secure AI development practices.

The ideal candidate combines hands-on technical expertise with the ability to influence enterprise strategy, drive complex initiatives, and provide technical leadership across multiple security and engineering teams.

Your Primary 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

NOTE: The Primary Responsibilities of this role are not limited to the details above.*

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 another highly regulated industry preferred

Talents Needed for Success:

Required

• Deep understanding of Data Protection technologies, controls and governance frameworks
• Strong understanding of AI, GenAI, LLMs, AI agents, and associated security risks.
• Experience designing and implementing enterprise-scale security solutions.
• Strong knowledge of:
  • Data security and Data Governance
  • Cloud security
  • Encryption and key management
  • Secure software development practices
  • AI Security
• Experience leading technical implementations across multiple engineering.
• Strong analytical, communication, and stakeholder management skills.
• Financial Services or highly regulated industry experience.
• Experience translating complex technical requirements into scalable enterprise solutions

Preferred

• Experience securing Generative AI platfor…