Lead Data Management Analyst

Wells Fargo

Not specified (assumed to be hybrid based on industry standards)
8+ years progressive experience in data management
Genai application and prompt engineering expertise
Pattern discovery and thematic analysis skills
Wells Fargo is seeking a Lead Data Management Analyst to enhance its Chief Data Office's capabilities in identifying systemic data risks through advanced analytical techniques. The ideal candidate will have extensive experience in data management, AI initiatives, and issue remediation within regulated industries

Job Summary

  • This role is critical to strengthening the Chief Data Office's ability to identify systemic data risks by developing advanced analytical capabilities.
  • The successful candidate will leverage Generative AI and Agentic AI to generate insights on emerging risks and perform complex thematic analysis of issues and defects.
  • Candidates must have practical experience applying GenAI techniques including prompt engineering and retrieval-augmented generation (RAG) architectures within regulated industries.

Matching Summary

Match Score: 85

Wells Fargo is seeking a Lead Data Management Analyst to enhance its Chief Data Office's capabilities in identifying systemic data risks through advanced analytical techniques. The ideal candidate will have extensive experience in data management, AI initiatives, and issue remediation within regulated industries.

Skills & Requirements

Must-have

  • 8+ years progressive experience in Data Management
  • GenAI application and prompt engineering expertise
  • Pattern discovery and thematic analysis skills
  • RAG architectures and few-shot techniques knowledge
  • Cross-functional data quality initiative leadership

Nice-to-have

  • Advanced analytical and inductive thinking capabilities
  • Vision for long-term large-scale solutions
  • Strategic engagement with enterprise leadership
  • Innovative business solution implementation skills

Key Requirements

  • 8+ years experience in Data Management or Business Analysis
  • Experience driving cross-functional data quality initiatives end-to-end
  • Background in financial services or similarly regulated industries
  • Strong working knowledge of GenAI and RAG architectures

Work Rights

Not specified

Tailored Resume

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