Senior Vice President, Infrastructure Solution Engineer

Senior Vice President, Infrastructure Solution Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what Life At BNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Senior Vice President, Infrastructure Solution Engineer. This role is in Jersey City, New York City, Pittsburgh or Lake Mary. In this role, you'll make an impact in the following ways: Take end-to-end technical ownership of selected Monica and Raven platform modules, from solution design and data architecture through implementation, integration, production readiness, and ongoing improvements. Design and engineer scalable infrastructure and data solutions using graph databases, data engineering patterns, and large-scale platform architecture to support AI-enabled monitoring, diagnostics, and automation. Translate complex production-support, monitoring, and operational data needs into practical technical designs that improve event correlation, diagnostics, and operational insight. Partner with engineering, architecture, infrastructure, and production-support teams as a senior individual contributor to solve complex platform challenges and drive high-quality technical outcomes. To be successful in this role, we're seeking the following: Senior-level hands-on experience designing and delivering large-scale infrastructure, data, or platform engineering solutions in complex enterprise environments. Strong hands-on engineering experience with Java, Python, APIs, and enterprise integration, with the ability to apply these skills to large-scale infrastructure, data, and AI-enabled platform capabilities. Strong expertise in graph databases, data engineering, distributed systems, data modeling, and platform architecture patterns. Practical experience with monitoring, diagnostics, observability, automation, operational intelligence, or AI/ML-enabled platform capabilities. Ability to operate independently as a senior technical individual contributor, owning complex modules from architecture and design through implementation and production support. Strong communication and collaboration skills, with the ability to influence technical direction across engineering, architecture, infrastructure, and production-support stakeholders.