AI and Automation Lead for Cyber Application Compliance, VP

State Street

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Quick summary

Work type
On-site
Location
Quincy, MAPrinceton, NJBoston, MAClifton, NJ
Salary
$120,000–$202,500 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $161k
$110k $214k
below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $143,048–$200,525 — the blue band above. At the midpoint, this role pays about $161k versus about $172k for comparable roles.

Based on 240 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 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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At a glance

TL;DR · AI and Automation Lead for Cyber Application Compliance, VP

Role Posting Log in to save

JOB TITLE: AI and Automation Lead for Cyber Application Compliance - VP The AI and Automation Lead for Cyber Application Compliance - VP joins the Cyber Application Compliance team to modernize and scale the firm's compliance program. This role involves designing, developing, and implementing AI-driven automation solutions to improve compliance monitoring, risk identification, evidence collection, and regulatory reporting across the enterprise application portfolio. The successful candidate will build scalable data pipelines, intelligent workflows, and predictive reporting capabilities while managing complex integrations between governance platforms and security tooling. Key technologies include Python, Java, C#, JavaScript, and cloud-native technologies like Azure, AWS, or Google Cloud. The role requires deep expertise in machine learning, generative AI, and LLMs to solve complex cybersecurity governance problems, ensuring alignment with NIST frameworks and other regulatory requirements within a highly regulated financial services environment.

Skills

Artificial Intelligence Machine Learning Generative AI Large Language Models (LLMs) Python Java C# JavaScript AWS Azure Cloud Platform ServiceNow IRM Archer APIs Data Pipelines NIST Cybersecurity Framework Predictive Analytics Cybersecurity Governance Risk Management GRC

What you'll do

  • Design, develop, and implement AI-driven automation solutions to improve compliance operations and regulatory reporting.
  • Build scalable data pipelines and automation frameworks to improve the accuracy and timeliness of compliance evidence collection.
  • Develop AI-assisted monitoring capabilities to identify control deficiencies, policy exceptions, and emerging risks.
  • Design and maintain complex integrations between governance platforms, security tooling, and data repositories.
  • Create AI-enabled dashboards, metrics, and predictive reporting capabilities to improve cyber risk visibility.
  • Translate business objectives into technical specifications and solution designs for AI-driven governance processes.
  • Establish responsible AI governance practices, security standards, and model oversight processes with technical teams.
  • Evaluate emerging AI technologies to develop practical use cases that improve operational effectiveness and control maturity.

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 software development and coding experience with modern programming languages such as Python, Java, C#, or JavaScript.
  • Experience designing, developing, and deploying enterprise-grade AI solutions and production-grade automation capabilities.
  • Knowledge of cybersecurity governance, risk management, compliance, and control frameworks including NIST standards.
  • Experience with cloud platforms including Azure, AWS, or Google Cloud.
  • Master's degree in a related field, financial services experience, or specific AI/Security certifications (preferred).

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