Sr Lead Vulnerability & Patch Management Cyber Security Research Engineer

About this role: Wells Fargo is seeking a Senior Lead Vulnerability & Patch Management Cyber Security Research Engineer to help drive the evolution of our Vulnerability and Patch Management (VPM) capabilities through automation, AI-driven insights, and advanced security engineering. This role will lead research, design, and implementation of innovative cyber security solutions focused on vulnerability intelligence, cloud security, automation, and data-driven decision making. The successful candidate will combine expertise in cyber security research, software engineering, cloud technologies, and data analytics to modernize vulnerability management processes and create scalable, intelligent security capabilities that reduce risk across the enterprise. This position is a key contributor to the next generation of Wells Fargo's Vulnerability and Patch Management strategy, focused on transforming manual processes into automated and AI-enabled solutions that support a complex hybrid and multi-cloud environment. In this role, you will: Apply advanced data analysis techniques, including machine learning, statistics, and data mining to solve cyber security challenges and translate security requirements into scalable solutions. Lead the research, design, and implementation of automation capabilities supporting the Vulnerability and Patch Management (VPM) program. Develop API-driven integrations and automation frameworks that improve the collection, processing, correlation, and reporting of vulnerability data. Build prototypes, proofs of concept, and production-ready solutions that leverage AI and machine learning to generate actionable vulnerability intelligence and prioritization recommendations. Partner with engineering, cloud, infrastructure, and application teams to integrate vulnerability management capabilities into CI/CD pipelines and Infrastructure as Code (IaC) processes. Evaluate and implement security controls within software development and deployment workflows to improve vulnerability identification and remediation. Conduct research and identify emerging technologies, threats, attack methods, and security capabilities to address evolving cyber risks. Design and support solutions that aggregate and normalize security data from multiple vulnerability scanners, cloud platforms, and enterprise security tools. Develop and optimize data pipelines, data lake integrations, SQL queries, and correlation processes to improve vulnerability visibility and decision-making. Act as a subject matter expert for hybrid and multi-cloud security architectures, helping teams navigate security challenges across diverse cloud environments. Integrate new architectural analyses of cyber security features and align existing platforms with future security needs and strategic objectives. Provide engineering recommendations and technical leadership on advanced cyber security research initiatives and security automation strategies. Collaborate and influence all levels of professionals, including senior leaders, technology teams, and business stakeholders. Lead cross-functional initiatives and provide guidance to teams responsible for cyber security operations, threat detection, vulnerability management, and security engineering. Drive the strategic direction for advanced cyber security research, vulnerability intelligence, and security automation capabilities across the enterprise. Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents) Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions Understand and account for model limitations, security risks, and operational considerations Apply AI responsibly in development and production environments Ensure AI usage aligns with security, compliance, privacy, and ethical standards Required