Lead Data Engineer - Data Scientist

About this role

Wells Fargo is seeking a Lead Data Engineer in Cybersecurity as part of Identity Access Management. Learn more about career areas and business divisions at wellsfargojobs.com

This role sits at the intersection of cybersecurity, data science, machine learning, and AI. The successful candidate will develop intelligent solutions that improve access governance, identify anomalous behavior, automate entitlement decisions, and generate actionable insights across Wells Fargo's Identity and Access Management ecosystem.

In this role, you will

• Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Identity and Access management.
• Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
• Apply knowledge of statistical and data science methods and techniques to business problems relating to Identity and Access Management.
• Serve as a subject matter expert on ML, AI and the application of mathematical and statistical techniques to large datasets.
• Design, support and operate data pipelines, data models, dashboards, and API integrations to deliver real-time and batch analytics use cases.
• Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals in support of controls, policies, and operational processes.
• Build AI-powered capabilities that identify inappropriate access, recommend entitlements before users request them, and detect anomalous behavior across millions of identity events.
• Lead other IAM team members including operations, onboarding, initiatives and engineering teams as well as line of business and lines of defense teams to understand analytical needs and translate them into technical solutions.
• Establish and implement engineering and analytical best practices when developing solutions.
• Develop solutions in accordance with established security