Vice President - Technology (AI Security & Risk Manager)

PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.

From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.

To learn more about PJT Partners, please visit our website at www.pjtpartners.com.

Responsibilities The Technology department at PJT is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm’s business activities. As artificial intelligence becomes deeply embedded in both internal operations and the broader vendor ecosystem, the firm faces a new and rapidly evolving risk surface. The AI Security & Risk Manager will be PJT’s dedicated subject matter expert at the intersection of AI and security, helping the firm navigate this landscape with rigor and clarity.

We are seeking a high-performing AI Security & Risk professional to join the Cybersecurity team. Reporting to the Head of Technology Risk, this individual will own the firm’s approach to identifying, assessing, and managing risk introduced by AI — both through internal AI deployments and through vendors increasingly embedding AI into their platforms. The role requires a practitioner who can operate at both a strategic and technical level: fluent in AI architecture and threat modeling while equally capable of communicating risk clearly to senior leadership and regulators. The candidate must build strong relationships across Technology, Legal, Compliance, and the business to ensure AI risk is managed as an enterprise priority, not a silo.

Additional Responsibilities Include AI Risk Governance & Strategy

• Own and maintain the firm’s AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance.
• Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards.
• Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles.
• Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps.
• Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls.

Vendor AI Evaluation & Third-Party Risk

• Lead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability.
• Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations.
• Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms.
• Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership.
• Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps.

AI Threat Modeling & Security Architecture

• Conduct threat modeling for AI systems and integrations, including risks from prompt injection, model inversion, training data poisoning, and adversarial inputs.
• Evaluate AI-specific attack surfaces introduced by LLM integrati…