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.
$159,000.00 - $305,000.00

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:

• 7+ 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:

• 7+ years of experience in the 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
• 5+ years of experience in business and data analysis
• Experience working with business users and data consumers understanding the processes and procedures underlying data use and delivery
• Experience in eliciting business requirements, and professionally documenting the requirements
• Ability to drive data solutions in close partnership with line of business and technology
• Experience with Generative AI tools and techniques to creatively improve data processes and productivity.
• Very strong SQL skills and Excel skills
• Proficient in communicating complex data concepts in a clear manner to the stakeholders
• Knowledge and understanding of data management policy & procedures, technology policies, governance challenges and approaches.
• Understanding of data integration, curation, and delivery approaches using BI, semantic layers, APIs, and data virtualization
• Experience identifying internal and external data sources from multiple sources across the business
• Ability to provide data sourcing and provisioning recommendations that simplify data supply chain
• Strong project management skills including the ability to handle multiple projects concurrently
• Ability to develop partnerships and collaborate with other business and functional areas
• Highly refined and professional verbal and written communication

Wells Fargo Wealth & Investment Management (WIM) Data Management team is seeking a Senior Lead Data Strategy Execution Analyst. This senior level individual contributor role will report into WIM Data & Analytics Strategic Enablement leader. The role will be responsible for leading WIM initiatives by eliciting business requirements, translating to the corresponding data requirements, and developing data sourcing and provisioning recommendations. This role drives business value by ensuring that business objectives are fulfilled, while promoting distribution of strategic data that is fit-for-purpose to the data consumers and use cases. Further, the role will inform and influence the development of approved data sources by ingesting from right data sources and developing Data Products. The role contributes to 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.
• Collaborate with cross-functional teams to develop data requirements for strategic data products that align with business goals.
• Provoke conversations and drive clarity in use case business data requirements.
• Mature and standardize the process of developing and documenting requirements.
• Analyze use cases and business requirements in depth and document the details of the datasets and data elements to be sourced and provisioned
• Be very hands-on with SQL to profile data and analyze and join disparate datasets in disparate sources and technologies
• Develop strategies to simplify date environments and data flows. Strategies may include data mesh, data products, data virtualization, data fabric, data microservices/API’sa
• Lead and drive business initiatives in forums with stakeholders at all levels
• Develop current state understanding of data asset landscape through application and data research and partner interactions.
• Lead and execute data sourcing & provisioning for the business initiatives and meet data governance and policy and procedure compliance informed by priorities.
• Partner with application business owners, product owners, and technology in producing sourcing recommendations in alignment with permissible use and target data architecture.
• Identify alternate data sources that can incorporate necessary control and use expectations for conditional approval
• Inform and influence the data design of Data Products
• Provide leadership to influence the roadmap of approved data sources.
• Contribute to and promote the use of WIM data catalog through metadata contribution and enrichment.
• Build and leverage domain expertise, lead project teams, and mentor less experienced staff in the execution of their responsibilities.
• Create communication routines with stakeholders, business partners, and management

Required Qualifications:

• 7+ 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:

• 7+ years of experience in the 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
• 5+ years of experience in business and data analysis
• Experience working with business users and data consumers understanding the processes and procedures underlying data use and delivery
• Experience in eliciting business requirements, and professionally documenting the requirements
• Ability to drive data solutions in close partnership with line of business and technology
• Experience with Generative AI tools and techniques to creatively improve data processes and productivity.
• Very strong SQL skills and Excel skills
• Proficient in communicating complex data concepts in a clear manner to the stakeholders
• Knowledge and understanding of data management policy & procedures, technology policies, governance challenges and approaches.
• Understanding of data integration, curation, and delivery approaches using BI, semantic layers, APIs, and data virtualization
• Experience identifying internal and external data sources from multiple sources across the business
• Ability to provide data sourcing and provisioning recommendations that simplify data supply chain
• Strong project management skills including the ability to handle multiple projects concurrently
• Ability to develop partnerships and collaborate with other business and functional areas
• 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