AI-Driven Engineering Leader, Operational Risk

Archer; New York (NY); On-site; USD 210,000 - 320,000; Full time

Job summary

BNY is seeking a Director, Head of Engineering - Operational Risk to lead engineering strategy, architecture, and delivery for the Operational Risk domain. This role focuses on scalable platforms, strong controls, agile execution, and an AI-first engineering approach.

You will design scalable risk management architectures, standardize event taxonomies, and drive automation to strengthen the control environment.

Qualifications

• Advanced degree required in computer science or related discipline; equivalent work experience considered.
• 12+ years in systems analysis and program development with supervisory, management and administrative experience.
• Experience in securities or financial services is a plus.
• Familiarity with agile practices and leading small, high-performing teams.

Responsibilities

• Design scalable architectures for operational risk controls, event management, and monitoring systems.
• Standardize taxonomies for operational risk events, controls, issues, and management information.
• Develop risk mitigation strategies, automation frameworks, and resilient engineering capabilities.
• Lead small, agile engineering teams focused on platform outcomes, delivery quality, and stability.
• Drive an AI-first approach in operational risk tooling to improve automation and insight.
• Collaborate with risk management, control functions, and business units to prioritize capabilities.
• Support engineering decisions balancing innovation, risk management, and resilience.

Skills

Leadership

Agile practices

Stakeholder management

Communication

Education

Advanced degree in computer science or related discipline

12+ years of systems analysis & program development with supervisory experience

Job description

BNY is seeking a Director, Head of Engineering - Operational Risk to lead engineering strategy, architecture, and delivery for the Operational Risk domain. This role focuses on scalable platforms, strong controls, agile execution, and an AI-first engineering approach.

You will design scalable risk management architectures, standardize event taxonomies, and drive automation to strengthen the control environment.