Data Science Director - Consumer Banking
- Wells Fargo
- 10 - 15 years
- Bengaluru
- 21 hours ago
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Job Description
About this role:
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.
In this role, you will:
- 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 endtoend deposit pricing analytics: rate setting, elasticity modeling, scenario simulation, and yield optimization
- Strong understanding of Consumer and Business banking deposits 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 endtoend 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 highimpact opportunities for applying data science; lead hypothesis generation and analytical problemsolving 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 decisionmaking.
- 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, highquality 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 longterm 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.
Required Qualifications:
- 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
Desired Qualifications:
- 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 PL to drive intended outcome aligned with business priorities
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Head - Data ScienceEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Bengaluru
Keyskills: data science technical leadership statistical techniques mathematics stakeholder communication machine learning banking products banking analytics marketing economics physics business growth financial planning finance statistics
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