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.  

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