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Lead Data Management Analyst

  • Data & Analytics
  • Full time
  • R-241851

About this role:

Wells Fargo is seeking a Lead Data Management Analyst...

In this role, you will:

  • Organize and lead 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
  • 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
  • Partner with groups and various levels of seniority companywide to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications:

  • 8+ years of experience in Information Technology
  • 5+ years of Data Management, Business Analysis, Analytics, Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Experience in Data Management, Business Analysis, Analytics, Project Management, 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
  • 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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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