Wells Fargo is seeking a Digital Product Management Senior Manager in Cybersecurity as part of Identity Access Management. This role will focus on the design, architecture, and product direction for cloud identity management across Azure, Google Cloud Platform, and other enterprise cloud environments. The role will partner closely with IAM product, architecture, engineering, cybersecurity, cloud, infrastructure, application, and operations teams to deliver secure, scalable, and automated identity solutions. This role will help translate complex cloud identity and access problems into clear patterns, reusable services, practical roadmaps, and measurable risk reduction. This is a hands-on leadership role. It is not limited to governance or advisory work. The person in this role will be expected to shape strategy, drive execution, influence senior stakeholders, and help teams deliver modern cloud identity capabilities at enterprise scale. In this role, you will: Manage and develop teams of digital professionals, supporting the development and execution of digital strategy within a business line or functional area Engage and influence stakeholders, internal partners and peers associated with the function or affected by its outcomes Identify and recommend opportunities for programs and initiatives with impact across the business line and may have impact beyond the business line Determine appropriate strategy and actions of the team to meet moderate to high risk deliverables Interpret and develop policies and procedures for functions with moderate complexity within scope of responsibility Collaborate with and influence all levels of professionals, including senior managers Interact directly with external customers Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in aligned department or business group Develop and guide a culture of talent development to meet business objectives and strategy 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
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed