Information Security Engineering Manager @ Wells Fargo

About this role:Wells Fargo is seeking a Information Security Engineering Manager. In this role, you will:lead the strategy, engineering, and technology support of Wells Fargo India’s Cybersecurity Platform Management.You will manage a multidisciplinary team that ensures stability and availability of critical systems, on‑premises and cloud, in diverse domains , such as Identity & Access Management , Data Science, Application Security etc. A key responsibility includes leveraging AI and other automation opportunities, to derive operational efficiencies.Providing Leadership during Major outage to triage and resolve within MTTR, overseeing escalations, ensuring business continuity, and collaborating with global stakeholders during critical events. play a crucial role in architecture decisions, tool integration, process optimization, and policy enforcement.Strategic Leadership & Team ManagementLead platform operations (multiple functions) and ensure stability , availability, scalability, and compliance of critical banking systems.Embed application security into SDLC; work closely with DevSecOps and engineering teams.Improve Observability ,for quick alerting and proactive action to prevent business impactImprove business resiliency of critical systemsDrive enterprise technology transformation programs (e.g., OpenShift containerization, migration to SailPoint, Azure AD modernization, or Zero Trust adoption), in alignment with global technology objectivesDrive workforce planning, skill development, and performance management aligned with organizational goals.Foster a collaborative culture with a focus on operational excellence, innovation, and accountability.Mentor team members and collaborate with cross-functional stakeholdersMajor Incident Management (MIM) & Escalation HandlingProvide Leadership during Major outages, leading triage and recovery with timely escalation, Root cause analysis, and executive reporting, and implementing long-term solutions.Collaborate with global teams to ensure 24x7 support coverage and swift resolution during escalations, outages or disruptions.Automation and AI Leverage AI and machine learning for predictive analysis, their intelligence and anomaly detection.Utilize data science tools (python, power BI, Splunk, SQL) for dashboarding, pattern recognition, decision support.Introduce AI-powered Bots or assistance for enhancing security response and operational efficiency.Use predictive analytics to preempt performance…

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