Lead Analytics Consultant

About this role:

Wells Fargo is seeking a Lead Analytics Consultant to accelerate BOS’s 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.

In this role, you will:

• 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

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

Posting End Date: 

29 Oct 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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