Senior Business Execution Consultant -Data Analytics

Wells Fargo & Company•McLean, VA

1d•Hybrid

About The Position

Wells Fargo is seeking a Senior Business Execution Consultant to join the Branch Distribution Strategy & Operations team. This role is focused on supporting and improving the data, dashboarding, reporting, and analytical infrastructure that enables strategic decision-making across the organization. This position is ideal for someone with strong hands-on experience managing data environments, building scalable reporting and dashboard solutions, supporting model and analytics infrastructure, and operating within risk and control frameworks. The role will work closely with strategy, finance, risk, analytics, and technical partners to ensure data assets, reporting tools, and analytical workflows are accurate, scalable, well-controlled, and built to support future business needs, including GenAI-enabled use cases. This is not primarily an insight-generation or strategy-development role. Instead, this role is centered on building and managing the infrastructure, tools, processes, and controls that allow the business to effectively use data, dashboards, models, and analytics in decision-making.

Requirements

4+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Business Analysis, Analytics, Reporting, or Data Infrastructure experience

Nice To Haves

4+ years of hands-on experience with data management, reporting, dashboard development, analytics infrastructure, or business intelligence tools
Advanced proficiency with SQL, Python, SAS, Tableau, Power BI, and Power Apps
Experience building and enhancing dashboards, reporting environments, and data solutions for business stakeholders
Experience supporting data infrastructure, reporting automation, and scalable analytical processes
Experience working with large, complex datasets, including data validation, quality assurance, and documentation
Experience operating in risk and control environments with strong governance and process discipline
Experience in risk and control automation
Ability to partner across business and technical teams to deliver practical data and reporting solutions
Strong written and verbal communication skills
Experience in banking, financial services, or branch distribution strategy
Experience supporting modeling infrastructure and connecting data science outputs to business and financial outcomes
Experience building scalable Python-based infrastructure and automation
Understanding of data environments that support advanced analytics and future GenAI capabilities
Familiarity with SNL, FDIC, GIS, financial, and customer data
Experience using financial, customer, and geographic data to support business planning and reporting
Ability to work effectively in a fast-paced, cross-functional environment
Ability to operate effectively in a fast-paced, highly cross-functional environment with multiple priorities

Responsibilities

Manage and improve data infrastructure, reporting environments, dashboards, and analytical tools that support branch distribution strategy and business decision-making
Build, maintain, and enhance dashboards, scorecards, and reporting solutions using Tableau, Power BI, Power Apps, SQL, Python, and SAS
Support the development of scalable and repeatable data pipelines, reporting processes, and analytical workflows
Partner with business, analytics, and technology teams to ensure data is structured, governed, and delivered in a way that supports business needs
Help build and maintain modeling infrastructure in Python and related environments that connects data science models to integrated business and financial outputs
Support the design of best-in-class data infrastructure that is scalable, sustainable, and positioned for future GenAI applications
Ensure data quality, consistency, documentation, governance, and transparency across dashboards, datasets, and analytical assets
Operate within established risk and controls frameworks, including process documentation, validation, issue identification, and remediation support
Identify opportunities to improve reporting automation, infrastructure efficiency, and the usability of data and dashboards for business partners
Translate business requirements into technical and reporting solutions that improve access to trusted data and actionable reporting
Partner across strategy, finance, risk, and analytics teams to support business processes that rely on data infrastructure and reporting accuracy
Maintain strong process discipline and support sustainable execution across recurring analytical and reporting needs