Wells Fargo is seeking a Senior Lead Digital Product Manager in Technology as part of Cybersecurity. This role is responsible for driving the strategy, roadmap execution, backlog prioritization, and delivery of capabilities that enhance threat detection, cyber monitoring, security operations, and incident response across the enterprise. The successful candidate will partner closely with cybersecurity operations teams, engineering organizations, product managers, threat intelligence, data science, and technology partners to deliver innovative security capabilities that reduce enterprise cyber risk and improve operational resilience. In this role, you will: Own and manage the Cyber Security Operations product backlog and prioritize work based on business value, risk reduction, regulatory requirements, and operational outcomes. Translate product strategy and roadmap objectives into actionable user stories, acceptance criteria, and delivery plans. Partner with Security Operations Centers (SOC), Incident Response, Threat Intelligence, Cyber Threat Management, and engineering teams to define and deliver new cybersecurity capabilities. Drive modernization and continuous improvement of cyber monitoring, detection engineering, alerting, automation, and response processes. Champion innovation and emerging technologies, including AI-enabled cyber defense capabilities, security analytics, and automation solutions. Collaborate with engineering and architecture teams to influence future-state designs and technology investments. Manage stakeholder relationships across cybersecurity, technology, risk, compliance, and enterprise partners. Monitor product performance, adoption, operational effectiveness, and risk-reduction outcomes through measurable KPIs and OKRs. Support regulatory, audit, risk, and governance activities associated with Cyber Defense products. Present product strategy, roadmap progress, investment needs, and business outcomes to senior leadership. Demonstrate foundational AI literacy by effectively using approved AI tools to support everyday work Apply AI tools for activities such as research, summarization, drafting, analysis, and decision support Exercise sound judgment when interpreting and using AI‑generated outputs Understand basic AI limitations and appropriate use cases within daily workflows Adhere to data privacy, security, and data‑handling standards when using AI tools Use AI ethically and responsibly, in alignment with company policies and guidelines
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed