Senior Lead Business Execution Consultant

About This Role

Wells Fargo is seeking a strategic, data-driven Senior Lead Business Execution Consultant focused on branch operations & strategy. This role drives the retail distribution strategy, uncovers insights, crafts narratives, and partners with data science teams to leverage advanced AI and Machine Learning models.

Responsibilities

• Advise business leaders on strategies derived from performance metrics, customer and market trends, and advanced analytics to maximize growth and minimize risk.
• Provide vision, direction, and expertise to senior leadership to drive large-scale, cross-organizational initiatives.
• Act as a strategic advisor to senior executives, delivering clear, compelling insights and recommendations.
• Use advanced analytics to solve complex business problems, create metrics, develop dashboards, and deliver insights across enterprise strategies.
• Lead large-scale analytics efforts involving geospatial analysis (GIS) and advanced AI/Machine Learning models.
• Identify and evangelize new tools, methods, and best practices for data analysis, reporting, and business decision-making.
• Lead cross-functional teams, partnering closely with data science, finance, technology, and operations teams.
• Gather, manipulate, and analyze large datasets from multiple sources, ensuring accuracy, consistency, and usability.
• Ensure adherence to internal policies and regulatory requirements across all managed initiatives.

Requirements

• 7+ years of Business Execution, Implementation, or Strategic Planning experience

Qualifications

• 7+ 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

Nice to Have

• Strong proficiency in building executive-ready presentations and narratives.
• Expertise analyzing large datasets (customer, block group level) and creating analytics-driven visualizations.
• Experience leading or partnering with data science teams building AI/Machine Learning models.
• Knowledge of retail distribution, optimization frameworks, and network strategy.
• Advanced experience with SQL, SAS, Teradata, Power BI, Tableau, Excel, PowerPoint.
• Ability to work independently and collaboratively in a fast-paced, data-driven environment.
• Excellent communication skills with the ability to influence and present to senior stakeholders.

Skills

* Required skills

Benefits