Lead Data Management

About this role:

Wells Fargo is seeking Lead Data Management Analyst

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
• Overall 10+ years of experience in the BFSI sector, specializing in Regulatory/Risk/Financial Data handling , Financial Data Mapping, and Database modelling.

Desired Qualifications:

• Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship
• Good experience in working on Banking projects (mandatory)
• Writing SQL code for analysis using Oracle and Teradata (mandatory)
• Extensive knowledge and understanding/experience of research and analysis.
• Strong analytical skills with high attention to detail and accuracy
• Experience in problem analysis, solution implementation, and change management.
• Excellent verbal, written, and interpersonal communication skills.
• Gather requirements from Business systems, and Consumers, articulate clearly in document
• Conduct impact analysis of data using SQL tools in Oracle and Teradata and present details to business for review
• Liaise with technology teams for development and validation of results.
• Identify Data Quality issues in data by provide mapping solution for remediation.
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
• Ability to effectively interpret data, stimulate deeper analysis, influence decision making, and create business value.
• Ability to articulate complex concepts in a clear manner.
• Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members.     
• Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship.      
• Ability to manipulate data from non-normalized or disparate data sources.
• Clear understanding of DWH principles, Dimensional Data and Data Models/Schemas
• Lead Role Experience & Capability to lead Team from the front.
• Ownership & Accountability for Delivery

Job Expectations:

• Lead complex enterprise-wide programs and collaborates on strategic initiatives for data governance, data quality and metadata activities.
• May act as a relationship manager for a line of business.
• May design and deliver database architecture / design services, providing sizing and configuration assistance, performing needs assessments, database definition & structure, documentation, long-range requirements, and operational guidelines.