Director, Senior Cloud Security Architect

Senior Cloud Security Architect

 

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 #LifeAtBNY is all about. Join us and be part of something extraordinary.

 

The Senior Cloud and AI Security Architect is responsible for defining and driving the enterprise cloud security architecture strategy while enabling the use of AI to enhance cloud security capabilities. This role combines deep expertise in cloud platforms, cybersecurity architecture, and security engineering with strong knowledge of AI-driven technologies and their practical application in security.

The role holder leads the design of secure, scalable, and resilient cloud architectures, establishes security standards and reference patterns, and acts as a strategic advisor on how AI can be leveraged to improve cloud security posture, automate controls, strengthen threat detection, and increase operational efficiency.

In addition, the role will also support the development and execution of Cloud Security Strategy and Governance. This role is in New York, NY or Pittsburgh, PA.

 

What to expect

• Be part of a team responsible for shaping enterprise cloud security architecture across public cloud and cloud-native platforms. 
• Drive adoption of AI for cloud security from a controls, process and operations perspective.
• Partner closely with cloud engineering, platform teams, DevSecOps, IAM, infrastructure, risk, compliance, and audit stakeholders. 
• Define scalable and repeatable cloud security patterns that enable secure adoption of AWS, Azure, and GCP services. 
• Help translate regulatory, policy, and control requirements into practical architecture standards and implementation guidance. 
• Drive alignment between cloud architecture decisions and recognized frameworks such as NIST SP 800-53, NIST CSF, CIS, CSA CCM, and OWASP.

In this role, you’ll make an impact in the following ways

 

• Define and lead the cloud security architecture strategy across enterprise cloud platforms and services.
• Develop and maintain cloud security reference architectures, design patterns, standards, and guardrails.
• Act as an AI enabler for cloud security by identifying, assessing, and promoting AI use cases that improve security outcomes.
• Drive the adoption of AI-driven capabilities for threat detection, risk analysis, automation, incident response, and security operations.
• Partner with cloud engineering, platform, data, AI, and cybersecurity teams to integrate AI securely and effectively into cloud security processes and tooling.
• Evaluate emerging cloud security and AI technologies and recommend innovations that enhance resilience, efficiency, and risk management.
• Advise senior leadership and key stakeholders on cloud security risks, architecture decisions, and strategic technology direction.
• Support security transformation initiatives by embedding security-by-design and automation-by-design principles into cloud adoption programs. 

  To be successful in this role, we’re seeking the following

• 10+ years of cloud security architecture, enterprise security architecture, or cybersecurity engineering.
• 7+ years of direct experience designing and securing cloud environments in one or more major cloud service providers such as Azure, AWS, GCP or OCI.
• Deep understanding of cloud security principles including IAM, zero trust, network segmentation, encryption, key management, logging, monitoring, and workload protection.
• Strong understanding of AI and machine learning concepts, with practical experience applying AI to cybersecurity or security operations use cases.
• Experience with security automation, orchestration, analytics, and AI-driven security tooling.
• Ability to translate complex technical concepts into clear architectural direction for technical and non-technical stakeh