Teams at Wells Fargo

Leads enterprise AI/ML product go-to-market strategy, platform adoption, releases, onboarding, training, documentation, and support. Bridges engineering, product, end users, and business stakeholders while managing dependencies, risks, governance, security, and responsible AI requirements. Evaluates technical readiness, guides complex AI initiatives, gathers workflow insights for roadmap priorities, and delivers executive communications on adoption, business impact, quality, and risk. Builds stakeholder alignment and identifies future AI opportunities across a regulated enterprise.

Lead enterprise AI lifecycle governance and delivery processes across a regulated financial institution. Advise senior leadership, assess AI maturity and readiness, establish governance frameworks, manage risk and controls, and translate policies into operational and technical requirements. Partner with Legal, Compliance, Risk, Product, Engineering, and Data Science teams to enable responsible, compliant AI adoption at scale while monitoring regulatory expectations and supporting complex AI initiatives.

Leads complex, enterprise-wide software engineering initiatives; designs, codes, tests, debugs, documents, and reviews large-scale technology solutions. Establishes engineering standards, resolves technical challenges, mentors teams, and collaborates with technical experts and business partners. The role focuses on React-based enterprise web applications, accessibility, content management integration, analytics migration, financial services platforms, and front-end development tools.