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Wells Fargo is seeking a Lead Analytics Consultant.
Job Responsibility:
Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
Provide influence and leadership in the identification of new tools and methods to analyze data
Ensure adherence to compliance and legal regulations and policies on all projects managed
Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals
Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors
Own end‑to‑end delivery of agentic analytics solutions, from design and development through production deployment and support
Build hands‑on agent solutions using Python‑driven analytics, integrated with MCP‑based enterprise systems
Develop VS Code chat participants and extensions using Node.js / TypeScript, with backend services in Python and Java
Design multi‑step, tool‑orchestrated agent workflows that automate analytics, discovery, and monitoring use cases
Modernize legacy or manual analytics processes into scalable, reusable, agent‑enabled solutions
Write and review production‑grade code (Python, TypeScript, Java) with strong standards for quality, scalability, and maintainability
Act as a hands‑on technical leader—mentoring team members and influencing agent architecture and best practices
Partner with business, risk, and technology stakeholders to deliver impactful, production‑ready solutions embedded directly into developer workflows
Requirements:
5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Experience migrating SAS or legacy analytics into modern Python‑based architectures
Familiarity with cloud‑native development (Azure / GCP) and enterprise SDLC standards
Proven ability to mentor developers and analytics professionals through hands‑on code reviews and design guidance
Lead complex agent modules and act as a hands‑on technical mentor for junior developers
Define platform‑level agent standards, influence cross‑LOB adoption, and partner with senior leadership on roadmap and scale