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About this role:
Lead Data Product Integrity Specialist
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
Adhere to data governance standards and procedures
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 or assist in coordinating various SMEs to identify and put together remediation plans for prioritized data deficiencies
Lead project teams and mentor less experienced staff members
Recommend remediation of process or control gaps that align to management strategy
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
Work with WIM product teams and/or WIM RAUs to facilitate compliance with the Data Management Policy and Procedures across the produce portion of the data life cycle
Required Qualifications:
5+ years of data quality or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship
Knowledge and understanding of data governance program development and implementation in a large organization across multiple business functions
Metadata management and data integrity skills
Knowledge and understanding of Data Models, ERD, Dimensional Models and Metadata
Experience with data governance compliance programs and controls
Highly refined and professional verbal and written communications
Ability to organize and manage multiple priorities
Prior financial industry experience supporting Wealth and Investment Management businesses including knowledge of data pertaining to brokerage/trust products
Ability to interact with all levels of an organization
Strong analytical skills with high attention to detail and accuracy
Ability to negotiate, influence, and collaborate to build successful relationships
Experience with leveraging data for analysis and reporting
Knowledge and understanding of financial industry compliance requirements
Experience working with cross-functional teams to coordinate, execute, and communicate on large-scale projects and cyclical routines
Experience in identifying gaps in training materials and participating in creation or deploying materials
Relationship management experience with business and technology partners
Job Expectations:
Job Location:
This position is subject to FINRA Background Screening Requirements, including successful completion and clearing of a background check. Internal transfers are subject to comply with 17 CFR 240.17f-2 of the Securities Exchange Act of 1934 and FINRA Bylaws, Article III, Section 3, which states that Associated Persons should not be subject to statutory disqualification. Successful candidates must also meet ongoing regulatory requirements including additional screening and are required to report certain incidents.
Pay Range
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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