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Wells Fargo Logo Wells Fargo · IT - Administration

Lead Data Management Analyst

India, Bengaluru · Job Posted May 30, 2026
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Job Description

Wells Fargo is seeking a Lead Data Management Analyst

Job Responsibility

  • Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes
  • Oversee analysis and reporting in support of regulatory requirements
  • Identify and recommend analysis of data quality or integrity issues
  • Evaluate data quality metrics and data quality audits to benchmark the state of data quality
  • Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures
  • Identify new data sources and develop recommendations for assessing the quality of new data
  • Lead project teams and mentor less experienced staff members
  • Recommend remediation of process or control gaps that align to management strategy
  • Serve as relationship manager for a line of business
  • Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility
  • Represent client in cross-functional groups to develop companywide data governance strategies
  • Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution

Requirements

  • 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Data Management Expertise: Strong understanding of data management risks and principles
  • Stakeholder Engagement: Skilled in building global relationships and influencing across leadership levels
  • Communication & Collaboration: Exceptional written and verbal communication skills
  • effective in matrixed environments with competing priorities
  • Execution & Accountability: Delivers high-quality outcomes, takes ownership of results, and consistently meets deadlines under pressure
  • Analytical Thinking: Synthesizes data to inform decisions and balances innovation with practical execution
  • Issue Remediation Expertise: Deep understanding of issue remediation processes, with proven experience partnering with or supporting large‑scale program offices to drive issue identification, tracking, escalation, and resolution
  • Adaptive Problem Solver: Proven ability to thrive in environments with evolving requirements, effectively prioritize tasks, and bring creative, out‑of‑the‑box thinking to drive innovative approaches to data analysis
  • Artificial Intelligence: Deep experience with generative AI models, including model prompting, tuning, GenAI environments and Python coding
  • Experience with enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies
  • Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
  • Progressive experience in Data Management, Business Analysis 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
  • Implement 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
  • Evaluate data quality metrics and data quality audits to benchmark the state of data quality
  • Execute the vision and direction established by the senior leadership team 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
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