Application Security Lead

S&P Global•Princeton, NJ

About The Position

The Application Security Lead is part of S&P Global’s SGA Application Security team, a strategic security partner combining Application Security, DevSecOps, Exposure Management, and AI Security capabilities. The team uses automation-first approaches, partners closely with developers, and continuously learns about emerging technologies. The role offers involvement in enterprise-wide security transformation initiatives, AI-powered security tools, and security challenges affecting global engineering teams. The position leads complex application security assessments and integrates risk-based security controls into developer workflows. It provides security design guidance for applications, APIs, and cloud services, and develops AI-enabled tools and automations for security testing, triage, and remediation in line with enterprise governance standards. The role partners with engineering, product, cloud, and risk stakeholders to reduce systemic risks across the software development lifecycle, while providing technical leadership and mentoring.

Requirements

Bachelor’s degree in Cybersecurity, Computer Science, Engineering, or a related field, or equivalent professional experience.
At least 6 years of experience in Application Security, DevSecOps, secure software engineering, or penetration testing, with hands-on technical expertise.
Strong knowledge of application security testing methodologies, including SAST, SCA, DAST, threat modeling, secure design principles, and CI/CD security practices.
Experience integrating security controls into development platforms such as GitHub, Azure DevOps, and Jenkins, and into cloud-native delivery environments.
Practical experience using generative AI and AI-assisted development tools to build custom security tools, scripts, integrations, or automations.
Ability to lead technical engagements, communicate complex security risks to senior stakeholders, and drive remediation across distributed engineering teams.
Strong analytical and problem-solving abilities and attention to detail.
Excellent communication and presentation skills for technical and non-technical audiences.
Leadership and mentoring capabilities and a collaborative approach.
Adaptability in fast-paced, evolving technology environments.

Nice To Haves

Knowledge of Model Context Protocol (MCP), AI agents, agentic architectures, tool calling, retrieval-augmented generation, and secure integration of AI with enterprise platforms.
Experience with cloud application security across multi-cloud environments such as AWS, Azure, and GCP, including cloud-native security controls.
Strong automation capabilities and experience improving security operations at enterprise scale using Python, PowerShell, or similar scripting languages.
Experience with software supply chain security initiatives, including dependency governance, artifact management, provenance validation, and trusted package consumption practices.

Responsibilities

Lead complex application security assessments using SAST, SCA, DAST, API security, secrets detection, and threat modeling to identify and mitigate vulnerabilities.
Integrate security controls into developer workflows across GitHub, Azure DevOps, Jenkins, and cloud-native platforms, including risk-based quality gates.
Conduct threat modeling and security design reviews for new applications, APIs, and cloud services, and advise on secure architecture decisions.
Design and implement AI-enabled application security capabilities, including custom tools, agents, and automations for security testing, triage, and remediation while meeting enterprise governance standards.
Partner with engineering, product, cloud, and risk stakeholders to resolve systemic application risks and establish scalable security controls across the SDLC.
Provide technical leadership and mentorship to security analysts and engineering partners.
Contribute to enterprise standards, procedures, and audit-ready documentation.