Data Science Senior Manager

About This Role

Wells Fargo is seeking a Data Science Senior Manager to lead Branch Decision Sciences within Digital, Data & AI. This role plays a critical part in shaping the future of the physical branch, driving customer experience, operational efficiency, and banker enablement through advanced analytics and data-driven decision making. You will lead a team of data science professionals, partner closely with senior Retail Banking and Distribution leaders, and own analytics that influence branch strategy, operating model transformation, and growth initiatives-all within a strong risk, governance, and compliance culture.

Learn more about the career areas and lines of business at wellsfargojobs.com .

In This Role, You Will

• Own the end-to-end delivery of data science and analytics supporting branch strategy across Retail Banking.
• Translate complex analytical insights into clear, actionable recommendations that inform senior leadership decisions.
• Partner with cross-functional stakeholders to shape branch of the future strategy, operating model evolution, and banker enablement.
• Lead analytics to optimize the branch network and drive-up channels, balancing customer experience, operational throughput, staffing, and financial outcomes.
• Own analytics supporting Operating hours strategy, evaluating demand, efficiency, and performance.
• Evaluate ATM capabilities and modernization opportunities, including transaction mix and migration insights.
• Measure branch refurbishment and modernization impacts.
• Support market growth initiatives, de novo branch strategy, and transaction migration efforts through advanced analytics and scenario modeling.
• Lead transaction migration analytics, identifying opportunities to move low-value transactions from assisted channels while supporting digital adoption and customer experience.
• Reduce reliance on ad hoc analytics by advancing self-service tools and scalable reporting.
• Design and execute test-and-learn, pilot, and control frameworks to measure outcomes and support enterprise-scale adoption.
• Deliver analytics supporting New Money to Existing Customers
• Lead Digital-in-Branch analytics, with a focus on banker-led digital enablement and outcomes.
• Provide Branch Financial Coaching analytics, linking coaching activity to customer relationships, production, and long-term growth.
• Evaluate training program effectiveness, identifying opportunities to improve banker performance and customer outcomes.
• Lead and develop multiple teams of managers and data science professionals delivering moderate to high-complexity analytics initiatives.
• Establish and maintain strong standards for data accuracy, integrity, governance, and risk management.
• Provide thought leadership on advanced analytics methods, experimentation, and best practices.
  
  

Required Qualifications:

• 7 years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3 years of management or leadership experience
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
  
  

Desired Qualifications:

• Experience in Retail Banking, Branch Operations, Marketing, or Channel Analytics
• Strong executive communication skills with the ability to influence senior leaders
• Experience leading complex, cross-functional analytics initiatives
• Familiarity with Agile delivery methodologies
• Experience modernizing analytics processes or operating models
  
  

Job Expectations:

• Ability to travel up to 10% of the time.
• This position offers a hybrid work schedule.
  
  

This position is not eligible for Visa sponsorship.

Posting Location(s):

• 401 S Tryon St. - Charlotte, North Carolina 28202
• 401 Las Colinas Blvd. Bldg B - Irving, Texas 752039
  
  

Required locations listed.

Posting End Date

4 May 2026

• Job posting may come down early due to volume of applicants.
  
  

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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 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.

Applicants With Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment And Hiring Requirements

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

Reference Number

R-537267-1