Wells Fargo is seeking a Lead Information Security Analyst in Cybersecurity as part of Identity Access Management. This role serves as a strategic liaison between IAM, technology, and line of business partners, helping drive adoption of IAM capabilities, remediation of access management risks, and alignment to enterprise security controls. The individual will work closely with business stakeholders, product teams, and IAM partners to understand operational impacts, influence prioritization, and enable successful execution of IAM initiatives across the organization. In this role, you will: Proactively engage business units to identify IAM pain points, adoption barriers, and access challenges across initiatives. Understand business workflows, dependencies, and access requirements to ensure IAM solutions align with real-world use cases. Influence stakeholders on net new or on material changes to IAM enterprise solutions. Act as a strategic IAM partner for business units, ensuring consistent engagement, alignment, and adoption of IAM capabilities. Gather and translate business requirements into structured inputs for IAM product and engineering teams. Translate business feedback and access challenges into actionable product insights to improve IAM capabilities and user experience. Evaluate and interpret information security policies, standards, and processes to enable consistent adoption and informed decision-making across IAM initiatives. Advise on the development and delivery of IAM Enterprise Solutions. Collaborate and consult with peers, colleagues, and mid-level to more experienced managers to resolve issues and achieve goals. Translate business feedback and access challenges into actionable product insights to improve IAM capabilities and user experience. Serve as a mentor to less experienced staff. Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., Copilot and approved code-centric agents). Leverage AI to accelerate system design, coding, testing, analysis, data summarization, 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.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed