Senior Lead Data Management Analyst

Overview

Serve as the Strategic Data & Intelligence Enablement Leader within Wells Fargo Wealth & Investment Management (WIM) Data Management, translating priority business, data and AI use cases into governed data and semantic capabilities. This is a senior individual contributor role focused on strategy, requirements, design direction and adoption rather than product engineering.

What you'll do

• 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
• Lead business-to-data translation, source decisioning, data mapping and semantic modeling
• Define ontologies, metadata, knowledge representations, grounding context, provenance and controls needed for reliable AI solutions
• Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and process or control gaps
• Lead the strategy and resolution of highly complex, enterprise-wide challenges, delivering long-term, large-scale solutions
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Recommend remediation of process or control gaps that align to management strategy
• Represent the 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
• Translate business and AI use cases into scalable data product solutions
• Analyze and evaluate data sources, mappings, transformations and business rules
• Define data, semantic, grounding and traceability requirements for AI applications
• Assess data quality, lineage, metadata, privacy and governance readiness
• Identify and mitigate data, AI and semantic risks
• Establish end-to-end data lineage and control frameworks
• Partner with business, technology, risk, compliance, privacy and architecture teams to deliver governed data solutions

What you'll need

• 7+ years of Data Management, Business Analysis, Analytics or Project Management experience, or equivalent demonstrated through a combination of work experience, training, military experience and education
• 5+ years of hands-on experience translating business needs into data requirements, source decisions, mappings, analytical findings or governed data solutions
• 7+ years of strong background in Data Management, Data Governance, Business Analysis, Data Product Management and AI Enablement
• Hands-on experience with SQL, data profiling, metadata management, data lineage and data quality frameworks
• Experience in AI data readiness, semantic models, APIs, governance and risk controls
• Excellent stakeholder management and problem-solving skills

Nice to have

• Financial services experience, preferably in Wealth Management, Investment Management, Brokerage, Fiduciary Services or Regulatory Reporting
• Strong background in Data Strategy, Data Governance, Data Architecture, Metadata and Data Product Management
• Hands-on expertise with data analysis, SQL, data profiling, lineage and quality management
• Experience with Semantic Technologies and Knowledge Graphs (RDF, OWL, SPARQL, SHACL, JSON-LD, FIBO, Protégé)
• Familiarity with Generative AI, RAG (Retrieval-Augmented Generation), Agentic AI and AI governance frameworks
• Proven ability to lead complex enterprise initiatives, influence senior stakeholders and mentor teams

Details

• Location: Bengaluru, India
• Posting end date: 26 Oct 2026