Wells Fargo Lead Data Management Analyst 

India, Karnataka, Bengaluru 

843264449

In this role, you will:

• 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

Required Qualifications:

• 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

Desired Qualifications:

• Strong negotiation and leadership abilities
• Ability to supervise by distributing work and providing work direction
• Knowledge and understanding of financial services industry: wealth management, brokerage, or retirement
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
• Experience using data analysis to identify trends
• Knowledge and understanding of Metadata
• Relational database experience
• Knowledge and understanding of big data (Hadoop) environment
• XML (Extensible Markup Language) experience
• Experience delivering Business Intelligence (BI), analytics and reporting using API Services architecture
• 5+ years of experience using SQL within a variety of database sources such as SAS, Oracle, or Teradata, Python experience
• Scripting and automation experience
• Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
• Knowledge and understanding of data modeling tools, such as Power Designer

Job Expectations:

• Scope: Build out the WIM Data Catalogue, Taxonomy, Glossary & Dictionary starting with key use cases. Build the conceptual & logical data models across WIM & the linkage to the data catalogue
• Ability to lead the metadata & Modeling team(s) and drive direction and Strong partnership & influencing skills
• Strong knowledge of business architecture & wealth management domain.
• Experience driving the creation of a data taxonomy & catalogue. Ability to partner with business and technical SME’s
• Deep experience of business and metadata semantics, data analysis, data profiling
• Experience with relational databases and big data (Hadoop, S3) as well as with API’s (JSON, XML)
• Strong knowledge of Analysis Tools – SQL, Python, Scripting
• Experience with conceptual, logical, and physical data modeling
• Experience with modeling tools - e.g. Power-Designer, Hackolade, Erwin
• Strong Relational and object modeling skills and knowledge of knowledge Graphs
• Experience with auto-harvesting metadata and inferring metadata linkages a plus

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.