AI and Automation Lead for Cyber Application Compliance - VP
$120,000–$202,500 year
On-siteBoston, Massachusetts, United States or Princeton, New Jersey, United States
Job Summary
Lead the adoption and integration of artificial intelligence capabilities across the Cyber Application Compliance Program to modernize monitoring, risk identification, and regulatory reporting. Design, develop, and implement AI-driven automation solutions that reduce manual effort through intelligent workflows, machine learning models, and process automation. Build scalable data pipelines and complex integrations between governance platforms, security tooling, and reporting solutions to improve evidence collection quality and timeliness. Partner with cybersecurity, compliance, and technology stakeholders to establish responsible AI governance practices, model oversight processes, and executive dashboards supporting decision-making. Evaluate emerging AI technologies to develop practical use cases that enhance operational effectiveness and control maturity within highly regulated financial services environments.
Required Qualifications
- 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
- Travel up to 10% may be 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
- Experience integrating data from multiple enterprise systems and platforms
- 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
- Ability to communicate technical concepts to executive leadership and business stakeholders
- Strong project and program management skills with the ability to lead cross-functional initiatives
- Ability to influence stakeholders across multiple levels of the organization
- Experience working within highly regulated environments
Desired Qualifications
- Experience within highly regulated industries, particularly financial services
- Master's degree in Artificial Intelligence, Data Science, Computer Science, Cybersecurity, or related field preferred
- Experience developing dashboards, KPIs, KRIs, and operational reporting
- Familiarity with enterprise governance and compliance platforms such as ServiceNow IRM, Archer, or similar solutions preferred
- 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 preferred
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