AI and Automation Lead for Cyber Application Compliance - VP

State Street•Boston, MA

21d•$120,000 - $202,500

About The Position

State Street is seeking an experienced Artificial Intelligence Compliance & Automation Lead to modernize and scale its Cyber Application Compliance Program through artificial intelligence, machine learning, automation, and advanced analytics. The role leads the development and integration of AI-enabled solutions for compliance monitoring, risk identification, evidence collection, reporting, workflow efficiency, and regulatory alignment across the enterprise application portfolio. The successful candidate combines technical expertise and software development experience with cybersecurity and compliance knowledge. They will translate complex business requirements into scalable AI-driven solutions, collaborate across cybersecurity, compliance, risk, technology, and business teams, and communicate effectively with technical and non-technical audiences. Experience in highly regulated industries, especially financial services, is strongly preferred. The position may require travel up to 10%. The stated annual salary range is $120,000–$202,500 for the primary location; the range may differ for other work locations. Employees are eligible for State Street’s comprehensive benefits program, including retirement savings, insurance coverage, paid time off, an Employee Assistance Program, incentive compensation eligibility, and certain tax-advantaged savings plans.

Requirements

7 or more years of experience in artificial intelligence, machine learning, advanced analytics, automation, software engineering, or related technical disciplines.
5 or more years of experience supporting cybersecurity, compliance, risk management, governance, or regulated technology environments.
Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Cybersecurity, Information Technology, or a related field.
Deep understanding of artificial intelligence, machine learning, generative AI, large language models, and intelligent automation technologies.
Strong software development and coding experience with modern languages such as Python, Java, C#, JavaScript, or similar.
Experience designing, developing, and deploying enterprise-grade AI solutions.
Ability to understand and optimize complex end-to-end business and technology processes.
Strong analytical and strategic thinking capabilities.
Experience integrating data from multiple enterprise systems and platforms.
Knowledge of cybersecurity governance, risk management, compliance, and control frameworks.
Familiarity with NIST Cybersecurity Framework, NIST SP 800-53, NIST AI Risk Management Framework, and related standards.
Experience developing automation using APIs, workflow engines, orchestration tools, and cloud-native technologies.
Strong understanding of data governance, model governance, and responsible AI principles.
Ability to communicate technical concepts to executive leadership and business stakeholders.
Experience designing dashboards, KPIs, KRIs, and operational reporting.
Strong project and program management skills and ability to lead cross-functional initiatives.
Ability to influence stakeholders across multiple organizational levels.
Self-starter with an interest in innovation, continuous learning, and process improvement.
Strong presentation, documentation, and executive communication skills.
Ability to manage competing priorities in a fast-paced and evolving environment.
Experience identifying opportunities to use AI to improve operational efficiency, risk management, and compliance outcomes.
Travel up to 10% may be required.

Nice To Haves

Master’s degree in Artificial Intelligence, Data Science, Computer Science, Cybersecurity, or a related field.
Experience developing enterprise AI solutions and production-grade automation capabilities.
Strong coding proficiency and demonstrated experience building complex integrated technology solutions.
Experience with Azure, AWS, or Google Cloud.
Familiarity with enterprise governance and compliance platforms such as ServiceNow IRM, Archer, or similar solutions.
Experience in financial services, banking, or another highly regulated industry.
Microsoft Certified: Azure AI Engineer Associate.
Microsoft Certified: Azure AI Fundamentals.
AWS Certified Machine Learning – Specialty.
Google Professional Machine Learning Engineer.
Certified Information Systems Security Professional (CISSP).
Certified Information Security Manager (CISM).
Certified in Risk and Information Systems Control (CRISC).
Certified Information Systems Auditor (CISA).
NIST Cybersecurity Framework or NIST Risk Management Framework-related training.
Project Management Professional (PMP) or Agile certifications.

Responsibilities

Lead adoption and integration of artificial intelligence capabilities across the Cyber Application Compliance Program.
Design, develop, and implement AI-driven automation solutions for compliance operations, risk assessment, and regulatory reporting.
Identify opportunities to reduce manual effort using intelligent workflows, machine learning models, predictive analytics, and process automation.
Partner with cybersecurity, compliance, risk, technology, and business stakeholders to integrate AI into existing governance processes.
Develop AI-assisted compliance monitoring to identify control deficiencies, policy exceptions, and emerging risks.
Design and maintain integrations among governance platforms, compliance systems, security tooling, data repositories, and reporting solutions.
Build scalable data pipelines and automation frameworks to improve compliance evidence collection quality, accuracy, and timeliness.
Use advanced analytics and AI to improve cyber risk visibility and support executive decision-making.
Enhance management of compliance with cybersecurity frameworks, regulatory requirements, and internal standards.
Develop AI-enabled dashboards, metrics, key risk indicators, and predictive reporting capabilities.
Support intelligent workflows in ServiceNow, Archer, cloud environments, and other enterprise technologies.
Evaluate emerging AI technologies and develop practical use cases to improve operational effectiveness and control maturity.
Collaborate with technical teams on responsible AI governance, security standards, and model oversight processes.
Ensure AI-enabled solutions align with cybersecurity, privacy, legal, and risk management requirements.
Analyze complex datasets to identify opportunities for process improvement, risk reduction, and compliance optimization.
Translate business objectives into technical specifications and solution designs.
Communicate AI concepts, technical architectures, and compliance implications to technical and non-technical audiences.
Create and deliver executive presentations, implementation roadmaps, and business cases supporting AI investments.
Partner with technology and compliance teams on automation strategies for regulatory examinations, audits, and internal reviews.
Stay current on AI, cybersecurity, automation, regulatory expectations, and industry best practices.
Mentor and guide team members in AI adoption, automation opportunities, and advanced analytics.

Benefits

Retirement savings plan (401K) with company match.
Insurance coverage including basic life, medical, dental, vision, long-term disability, and optional additional coverages.
Paid time off, including vacation, sick leave, short-term disability, and family care responsibilities.
Access to an Employee Assistance Program.
Eligibility for annual performance-based incentive awards, with certain sales roles subject to sales incentive plans.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.