Senior Lead Analytics Consultant

Wells Fargo

Analytics professional at Wells Fargo focusing on data engineering, modeling, and AI deployment to mitigate risks. Involves partnership and operational support across risk functions.

Posted 6/18/2026full-timeArizona, Iowa, Minnesota, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $139,000 - $239,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
Ensure adherence to compliance and legal regulations and policies on all projects managed
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Requirements

What you’ll need

7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proficiency in Python for data analysis, machine learning, and production-grade development
Experience taking AI/ML systems from prototype to production, including monitoring and lifecycle management
Practical experience applying GenAI and AI assisted or agentic tools (e.g., GitHub Copilot) for analytics or automation and to establish scalable, repeatable monitoring solutions.
Experience with data acquisition, modeling, and preparation for analytics and machine learning workflows.
Familiarity with data quality practices, schema design, metadata management, and documentation standards.
Ability to guide teams on data cleaning, validation, and exploratory analysis.
Practical experience with model selection, training, evaluation, and iteration.
Familiarity with model evaluation techniques, including designing custom evaluation approaches when standard metrics are insufficient.
Experience analyzing unstructured and large-scale datasets with complex processing requirements.
Demonstrated risk detection or anomaly and pattern identification experience in analytics or monitoring use cases.
Familiarity with modern development practices (e.g., reusable patterns, configuration driven or cloud native approaches).
Experience building, testing, and automating production ready analytics pipelines.
Strong written and verbal communication skills, with the ability to translate complex analytics into clear, actionable insights.
Comfortable working in fast-paced, exploratory environments typical of proof of concept and innovation work.

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AnalyticsReportingFinancial ModelingStatisticsPythonMachine LearningData AcquisitionData ModelingData PreparationModel Evaluation

Soft Skills

LeadershipCommunicationAdvisoryStrategic EngagementProblem SolvingInnovationCoordinationVisionExpertiseCollaboration