AI and Automation Lead – Cyber Application Compliance

State Street

. Lead adoption and integration of artificial intelligence capabilities across the Cyber Application Compliance Program .

Posted 10/21/2026full-timeUnited StatesSenior💰 $120,000 - $202,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in artificial intelligence, machine learning, and automation to enhance compliance operations and risk management. Proficient in developing AI-driven solutions and integrating them within cybersecurity and regulatory frameworks.

Highest-signal resume keywords

Artificial IntelligenceMachine LearningCompliance AutomationCybersecurity GovernanceData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsSoftware EngineeringCloud PlatformsPythonJavaC#JavaScriptAPI DevelopmentDashboard DesignPredictive Reporting

Soft Skills

Project ManagementCross-Functional LeadershipCommunication

Tools & Technologies

ServiceNowArcherAzureAWSGoogle Cloud

Certifications & Qualifications

Azure AI Engineer AssociateAWS Certified Machine Learning – SpecialtyCISSPCISMPMP

Industry Keywords

NIST Cybersecurity FrameworkRegulatory ComplianceRisk ManagementFinancial ServicesBanking

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityJavaJavaScriptPMPPythonServiceNow

About the role

Key responsibilities & impact

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
Reduce manual effort through intelligent workflows, machine learning models, predictive analytics, and process automation
Partner with cybersecurity, compliance, risk, technology, and business stakeholders to integrate AI into governance processes
Develop AI-assisted compliance monitoring to identify control deficiencies, policy exceptions, and emerging risks
Design and maintain integrations between governance platforms, compliance systems, security tooling, data repositories, and reporting solutions
Build scalable data pipelines and automation frameworks for compliance evidence collection
Use advanced analytics and AI to improve cyber risk visibility and executive decision-making
Enhance compliance management against NIST, regulatory requirements, and internal standards
Develop AI-enabled dashboards, metrics, key risk indicators, and predictive reporting
Support intelligent workflows in ServiceNow, Archer, cloud environments, and other enterprise technologies
Evaluate emerging AI technologies and develop practical operational use cases
Establish responsible AI governance practices, security standards, and model oversight processes
Ensure AI-enabled solutions align with cybersecurity, privacy, legal, and risk requirements
Analyze complex datasets 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 executive presentations, implementation roadmaps, and business cases supporting AI investments
Establish automation strategies supporting regulatory examinations, audits, and internal reviews
Stay current on AI, cybersecurity, automation technologies, regulatory expectations, and industry best practices
Mentor and guide team members in AI adoption, automation, and advanced analytics

Requirements

What you’ll need

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
Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Cybersecurity, Information Technology, or related field required
Experience developing enterprise AI solutions and production-grade automation capabilities
Strong coding proficiency and demonstrated experience building complex integrated technology solutions
Experience with cloud platforms including Azure, AWS, or Google Cloud
Deep understanding of artificial intelligence, machine learning, generative AI, large language models (LLMs), and intelligent automation technologies
Strong software development and coding experience with modern programming languages such as Python, Java, C#, JavaScript, or similar
Knowledge of cybersecurity governance, risk management, compliance, and control frameworks
Familiarity with NIST Cybersecurity Framework (CSF), NIST SP 800-53, NIST AI Risk Management Framework (AI RMF), and related industry standards
Experience developing automation solutions utilizing APIs, workflow engines, orchestration tools, and cloud-native technologies
Strong understanding of data governance, model governance, and responsible AI principles
Experience designing dashboards, KPIs, KRIs, and operational reporting
Strong project and program management skills with ability to lead cross-functional initiatives
Experience working within highly regulated environments
Familiarity with enterprise governance and compliance platforms such as ServiceNow IRM, Archer, or similar solutions preferred
Financial services, banking, or other highly regulated industry experience strongly preferred
Preferred certifications include Azure AI Engineer Associate, Azure AI Fundamentals, AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, CISSP, CISM, CRISC, CISA, NIST framework-related training, and PMP or Agile certifications
Travel up to 10% may be required

Benefits

Comp & perks

Retirement savings plan (401K) with company match
Basic life, medical, dental, vision, long-term disability, and optional additional insurance coverage
Paid time off including vacation, sick leave, short-term disability, and family care responsibilities
Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks