Senior Lead Data Management Analyst
Wells Fargo (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 15h ago
Reach people at Wells Fargo
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Wells Fargo you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Translate priority business, data, and AI use cases into governed data and semantic capabilities, leading business-to-data translation, source decisioning, data mapping, semantic modeling, and data-product adoption.
- Lead strategy and resolution of complex challenges requiring evaluation across multiple enterprise areas, delivering large-scale, innovative solutions focused on data quality, lineage, governance, and AI readiness.
- Act as advisor to senior leadership and partner cross-functionally to define requirements for AI applications, establish data control frameworks, and drive enterprise-wide data governance.
Minimum Requirements
- 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience.
- 5+ years hands-on experience translating business needs into data requirements, source decisions, mappings, or governed data solutions.
- 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.
Ideal Candidate Profile
- Experienced in data strategy, governance, data product management, and AI enablement within complex enterprises.
- Adept at stakeholder management and leading cross-functional enterprise initiatives impacting senior leadership.
- Familiarity with semantic technologies (e.g., RDF, OWL, SPARQL) and emerging AI governance frameworks.