Senior Data Architect & AI Leader — Finance Markets

Wells-Fargo; Charlotte (NC); Hybrid; USD 139,000 - 217,000; Full time

Benefits offered by this job

Health benefits

401(k) Plan

Paid time off

Job summary

Wells Fargo is seeking a Senior Lead Analytics Consultant to join the CIB Finance Analytics & Insights team. You will lead enterprise-scale data, analytics, and AI initiatives across Finance and Markets, partnering with Technology, Data Management, and business stakeholders to modernize reporting and enable faster decision-making.

The role emphasizes data governance, AI-ready data foundations, and reusable data products, with ownership of data sourcing, quality, and semantic modeling.

Qualifications

• 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience.
• Design and implementation of enterprise data solutions and analytics platforms.
• Experience with modern cloud data platforms and advanced SQL/data modeling.
• Ability to lead cross-functional, enterprise-scale data transformation initiatives.
• Strong communication to simplify complex concepts for executives.

Responsibilities

• Lead design and implementation of scalable data architectures and pipelines.
• Govern trusted data assets and enterprise data model definitions.
• Modernize legacy reporting with cloud platforms and self-service analytics.
• Drive AI adoption, governance, and prompt engineering across finance use cases.
• Influence senior leaders and manage cross-functional data transformation programs.

Skills

Analytics

Reporting

Financial Modeling

Statistics

Leadership

Communication

Tools

Microsoft Fabric

Azure

Snowflake

Databricks

Power BI

Tableau

Dremio

GitHub Copilot

Job description

Wells Fargo is seeking a Senior Lead Analytics Consultant to join the CIB Finance Analytics & Insights team. You will lead enterprise-scale data, analytics, and AI initiatives across Finance and Markets, partnering with Technology, Data Management, and business stakeholders to modernize reporting and enable faster decision-making.

The role emphasizes data governance, AI-ready data foundations, and reusable data products, with ownership of data sourcing, quality, and semantic modeling.