Lead Risk Analytics Consultant - Data Architecture & BI Enablement

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Posted
1 day ago
Closes
Jun 15, 2026

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Salary context

How this pay compares to similar roles

Similar $175k
$130k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $138,500–$212,000.

Based on 239 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 71 open roles on FindRole.

Listed pay typically runs $119,000–$224,000 across 35 roles with salary data.

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At a glance

TL;DR · Lead Risk Analytics Consultant - Data Architecture & BI Enablement

Wells Fargo is hiring a Lead Risk Analytics Consultant for its IDeAS team to drive scalable self-service BI solutions by designing curated datasets and semantic data layers that empower business users, analysts, and BI developers to create reporting solutions independently using Tableau and Power BI. This role involves leading data consolidation across complex ecosystems, transforming disparate source tables into governed, business-ready datasets, and defining end-to-end data consumption architecture integrated with BI tools. The consultant will also provide hands-on enablement for business stakeholders in Power BI and collaborate with technology teams to implement scalable pipelines using Microsoft Fabric. Ideal candidates have 5+ years of risk analytics experience, expertise in SQL and Power BI, and a proven track record of designing data solutions that eliminate manual data pulls. They should possess strong communication skills and experience in capital markets and risk management.

What you'll do

  • Design curated datasets and semantic data layers for business users to create reporting solutions independently.
  • Lead the consolidation and rationalization of complex data ecosystems into governed, business-ready datasets.
  • Own end-to-end data consumption architecture, integrating BI tools with curated datasets and semantic models.
  • Enable self-service analytics by providing hands-on training in Power BI for effective use of curated datasets.
  • Partner with Technology teams to implement scalable pipelines and datasets using Microsoft Fabric (Lakehouse).

What we're looking for

  • 5+ years of Risk Analytics experience or equivalent demonstrated through work, training, military service, or education
  • Experience with Microsoft Fabric (Lakehouse, Direct Lake, semantic models)
  • Strong SQL skills and proficiency in Power BI, focusing on semantic models and curated datasets
  • Proven ability to design data solutions that eliminate manual data pulls and reduce dependency on centralized reporting teams
  • Experience working with large-scale datasets and Parquet file structure
  • Excellent communication, organizational, and planning skills for collaboration with technical and non-technical partners
  • Experience in Capital Markets and Risk Management

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