Lead Data Management Analyst

Actively Reviewing the Applications

Wells Fargo

India, Karnataka Full-Time On-site

Posted 3 weeks ago • Apply by June 16, 2026

Job Description

About This Role

Wells Fargo is seeking a Lead Data Management Analyst within the Chief Data Office (CDO) to support Enterprise Data Issue and Data Defect Thematic Analysis for the Data Issue Management team. This role is critical to strengthening the CDO’s ability to identify systemic data risks by developing advanced analytical capabilities that surface patterns, themes, and cross‑issue dependencies across data issues and defects.

In This Role, You Will

Act as an advisor to leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs
Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Perform complex thematic analysis of Issues and defects, Leverage Generative AI/Agentic AI to generate insights on emerging risks, risk segmentation
Evaluate data quality metrics and data quality audits to benchmark the state of data quality
Provide vision, direction, and expertise to leadership on implementing innovative and significant business solutions
Recommend remediation of process or control gaps that align to management strategy
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Represent client in cross-functional groups to develop companywide data governance strategies
Partner with groups companywide to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications

8+ years of progressive experience in Data Management, Business Analysis, Issue Remediation and in driving cross functional data quality or AI initiative end to end, within financial services or similarly regulated industries.
Practical GenAI application, pattern discovery and thematics, using GenAI techniques

and strong working knowledge of prompt engineering, few-shot / chain-of-thought techniques, and retrieval-augmented generation (RAG) architectures.

Reference Number

R-529151