This role pays less than
61%
of similar roles. Most pay
$150,737–$209,185
— the shaded band above.
At the midpoint, this role pays about
$161k
versus about
$180k
for comparable roles.
Based on 239 similar postings.
Employer
About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has
176 open roles
on FindRole.
Listed pay typically runs
$120,000–$202,500
across 172 roles with salary data.
AI and Automation Lead for Cyber Application Compliance - VP will lead the modernization of the firm's Cyber Application Compliance Program by integrating artificial intelligence, machine learning, and advanced analytics into core operations. The role involves designing and implementing AI-driven automation to improve compliance monitoring, risk identification, evidence collection, and regulatory reporting across the enterprise application portfolio. You will build scalable data pipelines, develop intelligent workflows, and create predictive dashboards while managing complex integrations between governance platforms like ServiceNow IRM and Archer. Key technical requirements include proficiency in Python, Java, C#, or JavaScript, along with experience in cloud environments such as Azure, AWS, or Google Cloud. The position addresses the challenge of maintaining compliance against NIST frameworks and other regulatory standards within highly regulated financial services environments by replacing manual processes with automated, high-accuracy systems.
Design and implement AI-driven automation solutions to improve compliance operations, risk assessment, and regulatory reporting.
Develop AI-assisted monitoring capabilities to identify control deficiencies, policy exceptions, and emerging risks.
Build scalable data pipelines and automation frameworks to improve the accuracy of compliance evidence collection.
Integrate AI capabilities into existing governance processes across cybersecurity, risk, and technology departments.
Create AI-enabled dashboards, metrics, and predictive reporting tools to enhance cyber risk visibility.
Manage complex integrations between governance platforms, security tooling, and enterprise data repositories.
Translate business requirements into technical specifications for scalable AI-driven compliance solutions.
Establish responsible AI governance practices, including security standards and model oversight processes.
What we're looking for
Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Cybersecurity, Information Technology, or a related field.
7+ years of experience in artificial intelligence, machine learning, advanced analytics, automation, software engineering, or related technical disciplines.
5+ years of experience supporting cybersecurity, compliance, risk management, governance, or regulated technology environments.
Strong coding proficiency and experience building complex integrated technology solutions using languages like Python, Java, C#, or JavaScript.
Experience developing enterprise AI solutions and production-grade automation capabilities.
Master's degree in Artificial Intelligence, Data Science, Computer Science, Cybersecurity, or related field (preferred).
Experience with cloud platforms including Azure, AWS, or Google Cloud.
Financial services, banking, or other highly regulated industry experience (preferred); specific certifications like CISSP, CISM, CRISC, CISA, PMP, or Azure/AWS AI certifications (preferred).
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