Job Summary

Wells Fargo is seeking a Lead Analytics Consultant to accelerate BOSs transition to an AI-first, agentic Front Line Monitoring model. This role will provide senior technical leadership in developing and implementing Agentic AI, LLM-based solutions, NLP, MCP-enabled architectures, and advanced Python analytics to extract risk signals from unstructured data, automate judgment-intensive processes, and significantly reduce cycle times.

The position requires strong expertise in Python (basic to advanced), LLM development, LLM APIs, agent orchestration, AI application development, and scalable analytics engineering to build production-ready, explainable, and auditable AI solutions. The role will establish reusable frameworks and best practices that drive productivity, improve signal quality, and support BOS's strategic AI modernization agenda.

Without this role, BOS faces increased risk in delivering critical AI initiatives, scaling agentic AI capabilities, and realizing the operational efficiency and risk-monitoring benefits identified as key business priorities.

Responsibilities

- 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 current 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

Required Qualifications
- 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications
- 5+ years of experience in Analytics, Data Engineering, AI/ML, or Risk Analytics with hands-on solution development and technical leadership.
- Expert-level Python proficiency (basic to advanced) for analytics, automation, anomaly detection, machine learning, agent development, and scalable monitoring platforms.
- Strong hands-on experience with LLMs, LLM APIs, Prompt Engineering, RAG architectures, and AI-powered analytics solutions.
- Experience designing and developing Agentic AI solutions, including multi-step reasoning, tool orchestration, workflow automation, and context management.
- Hands-on experience with Model Context Protocol (MCP) and integrating AI solutions across enterprise systems, applications, and data sources.
- Strong expertise in unstructured data analytics, NLP, anomaly detection,



feature engineering, and risk signal extraction.
- Advanced SQL skills and experience working with large-scale structured and unstructured datasets.
- Experience building solutions on GCP and cloud-native analytics platforms.
- Proven experience leading SAS-to-Python modernization, analytics automation, and platform transformation initiatives.
- Strong understanding of analytics architecture, AI engineering, model governance, explainability, and production deployment standards.
- Experience developing custom agents, copilots, chat-based applications, or AI-enabled developer tools.
- Working knowledge of Node.js/TypeScript, Java-based services, and modern software engineering practices supporting AI platforms.
- Experience designing and reviewing visualizations using Power BI, Tableau, and Python.
- Demonstrated ability to lead complex technical initiatives, establish development standards, conduct code reviews, and mentor analytics and engineering teams.
- Proven ability to influence enterprise AI adoption and partner with senior leaders on technology roadmaps and scalable AI solutions.

Job Expectations
- Demonstrate ability to execute effectively in a matrixed organization, develop partnerships with many business and functional areas.
- Demonstrate ability to build and maintain strong credible relationships with key stakeholder groups including executive management, regulatory examiners and internal auditors.
- Candidate must be willing to work at Bangalore or Hyderabad
- Candidate must be willing to work on mid-shift (1:30 PM - 10:30 PM), Mon - Fri, weekend off
- Candidate must be willing to work onsite

📌 Lead Analytics Consultant (Karnataka)
🏢 Wells Fargo
📍 Karnataka