Business Manager - Alternative Data Strategy for Business Cards & Payments

Business Manager - Alternative Data Strategy for Business Cards & Payments

Summary:  This role focuses on leveraging alternative or non-traditional data to enhance Business Cards & Payment’s underwriting, customer management, and strategy. You will collaborate with various program teams to identify their data needs, source new data, analyze its impact on P&L. By building business cases for data integration, you’ll drive improvements in areas such as application decisioning, customer management, fraud and valuations. Your work will be crucial to building and sustaining Capital One's competitive advantage through effective use of new and emerging data sources.

General Responsibilities:  

• Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands 

• Leadership: May manage and develop 1-2 analysts. Coaching and mentoring associates with a goal of developing and retaining talent at Capital One 

• Product: Develop and implement new product and pricing strategies for various lending products; lead product level modeling/analytics 

• Marketing: Lead direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go-to-market strategies 

• Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis 

• Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently 

• Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability 

• Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management 

• Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business 

• Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results 

• Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills 

• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment 

• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus 

Basic Qualifications:  

• At least 3 years of professional experience performing analysis

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:  

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering <