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Wells Fargo is seeking a Data Science Director within Consumer Banking lines of business (Deposit & Payments, Business and Affluent/Premier Banking). Lead advanced analytics and data science strategy to optimize deposit pricing, balance growth, margin, and customer retention across consumer and small business portfolios.
Job Responsibility:
Lead advanced analytics and data science strategy to optimize deposit pricing, balance growth, margin, and customer retention across consumer and business banking portfolios
Drive higher deposit balances (properly priced), across Consumer and Business Banking
Own end‑to‑end deposit pricing analytics: rate setting, elasticity modeling, scenario simulation, and yield optimization
Strong understanding of Consumer and Business banking deposit’s function, interest rate dynamics, and competitive banking markets
Lead and develop multiple specialized data science and analytics teams, including managers and senior individual contributors, delivering end‑to‑end analytical initiatives that generate actionable insights and drive business growth
Own functional leadership across key dimensions including technical direction, delivery infrastructure, operating model, stakeholder communication, and engagement strategy, ensuring alignment with enterprise/functional priorities
Identify, frame, and prioritize high‑impact opportunities for applying data science
lead hypothesis generation and analytical problem‑solving for critical, complex business challenges
Provide strategic and technical leadership to resolve highly complex issues using advanced analytics, machine learning, and statistical techniques
influence and partner with senior leadership to drive adoption and execution of identified opportunities
Continuously evaluate emerging trends, tools, and methodologies to deliver modern, scalable, and simplified analytics solutions that improve data accessibility and enhance executive decision‑making
Integrate external market dynamics and macro factors into analytical frameworks/models and insights to better anticipate, explain, and influence business outcomes
Partner closely with Product, Technology, Marketing, Finance etc. leaders to identify, prioritize, and execute data science initiatives that directly support revenue growth, customer retention, and operational efficiency
Direct multiple layers of management to ensure consistent, high‑quality analytical consulting, insight generation, and business recommendations across teams
Manage workforce and financial planning, including resource allocation and prioritization, to meet delivery commitments while aligning with long‑term strategic objectives
Build and sustain a strong culture of talent development, technical excellence, and accountability to ensure the organization has the capabilities required to execute current and future data science strategy
Requirements:
10+ years of strong and relevant data science experience in the same domain, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of management or leadership experience
Nice to have:
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
6+ years of experience in US Consumer Banking Business
Thorough knowledge of Consumer Banking Products and Services, Customer touchpoints and P&L to drive intended outcome aligned with business priorities