Data Catalog Lead Data Management Analyst

at  Wells Fargo

PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$111,100.00 - $237,100.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

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, educatio

Desired Qualifications:

• 5+ years of experience in financial services industry, preferably brokerage, trust, fiduciary, wealth, and investment management and involvement in regulatory reporting activities
• 5+ years of experience enabling delivery of Business Intelligence (BI), data, and analytic capabilities
• Strong analytical skills, proficiency in SQL, data visualization tools (Tableau, Power BI), and Python (or R)
• Experience with designing and maintaining a data catalog and metamodel
• Experience with building data products and data-mesh
• Experience with MS Purview or Dataplex or equivalent catalogs is a plus
• Experience building confluence or wiki’s to expose semantic layers and metadata
• Experience building data fabrics and data virtualization and semantic data layers
• Understanding of data integration, curation, and delivery approaches using BI, semantic layers, APIs, and data virtualization
• Proven hands-on experience with SQL for data analysis and data profiling
• Experience with building semantic layers and building taxonomies and ontologies. Experience building Data & Metadata Knowledge Graphs
• Experience with designing a semantic layer or data pipelines for AIML, Gen-AI
• Experience working with business users and data consumers understanding the processes and procedures underlying data use and delivery
• Ability to drive data solutions in close partnership with line of business and technology
• Knowledge and understanding of data management policy & procedures, technology policies, governance challenges and approaches
• Proven stakeholder management and ability to develop partnerships and collaborate with other business and functional areas
• Proficient in communicating complex data concepts in clear manner to the stakeholders
• Highly refined and professional verbal and written communication

Wells Fargo Wealth & Investment Management (WIM) Data Management team is seeking a Lead Data Management Analyst. This lead level individual contributor role will report into WIM Data & Analytics Strategic Enablement leader. In this role you will be responsible for driving the buildout and maintenance of the WIM Data Catalog and ensuring strong metadata quality, integrity, and linkage across all metadata in the metamodel. This role will also drive the buildout of a semantic layer/data-fabric for data analytics and AIML on top of a data-mesh and data-product architecture. You will work closely with data-product owners and domain experts and use case owners to ensure high quality metadata is captured and maintained and easy to discover. For data products design the lead will work with business stakeholders, business product owners and domain experts to define and drive data product domain boundaries, data model conceptual & logical design, design and document the harmonization rules to conform sources to a canonical target, test and validate all data model assumptions, design data quality rules, document all metadata and ensure the data catalog is populated and kept up to date. For use cases the lead will elicit business requirements, analyze, and translate to the corresponding data requirements, and map to and evolve the associated data-products. The role contributes to driving value to the business by identifying data products that are fit for purpose. Maturing and simplifying the data environment and helps maintain compliance with data management policies and procedures.

In this role, you will:

• Function in a hybrid agile environment partnering with business and technology teams across WIM agile products
• Drive the design, build, maintenance, and use of the wealth management data catalog through metadata contributions and enrichment
• Drive the design of a wealth management self-service semantic layer
• Collaborate with cross-functional teams to develop data requirements for data catalog and strategic data products that align with business goals
• Be very hands on with SQL to profile data and analyze and join disparate datasets from disparate sources and technology stacks
• Partner closely with technology and business leaders to understand the data product consumption needs and define the interfaces and the semantic layers to meet these needs
• Provoke conversations and drive clarity in use case business data requirements
• Develop strategies to simplify date environments and data flows. Strategies may include data mesh, data products, data fabric/semantic layer
• Lead and drive forums with stakeholders as all levels
• Develop current state understanding of data asset landscape through application and data research and partner interactions
• Provide leadership to influence the data product and data fabric roadmaps
• Create communication routines with stakeholders, business partners, and management

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:

• 5+ years of experience in financial services industry, preferably brokerage, trust, fiduciary, wealth, and investment management and involvement in regulatory reporting activities
• 5+ years of experience enabling delivery of Business Intelligence (BI), data, and analytic capabilities
• Strong analytical skills, proficiency in SQL, data visualization tools (Tableau, Power BI), and Python (or R)
• Experience with designing and maintaining a data catalog and metamodel
• Experience with building data products and data-mesh
• Experience with MS Purview or Dataplex or equivalent catalogs is a plus
• Experience building confluence or wiki’s to expose semantic layers and metadata
• Experience building data fabrics and data virtualization and semantic data layers
• Understanding of data integration, curation, and delivery approaches using BI, semantic layers, APIs, and data virtualization
• Proven hands-on experience with SQL for data analysis and data profiling
• Experience with building semantic layers and building taxonomies and ontologies. Experience building Data & Metadata Knowledge Graphs
• Experience with designing a semantic layer or data pipelines for AIML, Gen-AI
• Experience working with business users and data consumers understanding the processes and procedures underlying data use and delivery
• Ability to drive data solutions in close partnership with line of business and technology
• Knowledge and understanding of data management policy & procedures, technology policies, governance challenges and approaches
• Proven stakeholder management and ability to develop partnerships and collaborate with other business and functional areas
• Proficient in communicating complex data concepts in clear manner to the stakeholders
• Highly refined and professional verbal and written communications

Job Expectations:

• This position offers a hybrid work schedule in one of the listed job locations
• This position is not eligible for Visa sponsorship

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.