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Director – Head of Data Science and Products for Commercial Card

Capital One

Vienna, VA
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Job Details

Company Capital One

Job Title: Director – Head of Data Science and Products for Commercial Card

JobID: capitalone2-R19100

Location: Vienna, VA, 22180, USA

Description: Towers Crescent (12066), United States of America, Vienna, Virginia

Director – Head of Data Science and Products for Commercial Card

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Commercial Card is one of the fastest growing financial products in the industry. At its core, commercial card consists software systems that enable customers to manage their commercial B2B payments, manage accounts payable, control T&E expenses, and provide expense management services.

Our goal is to leverage data, analytics and machine learning to deliver market leading solutions that deliver incredible simplicity to customers and associate by doing the hard work for them. The successful candidate will help guide the architecture and the underlying technological choices, lead the team to design and build new models (including machine learning), and prototype and lead the development and delivery of new data and data visualization products.

**The accountabilities of the candidate would include:**

+ Develop the strategy and lead the overall data architecture, decision, scoring and visualization systems for commercial card.

+ Lead data product strategy, innovation and roadmap for commercial card.

+ Lead business intent for data product features and requirements.

+ Partner with technology teams in developing new features and innovations.

+ Lead the development of predictive behavioral models with both traditional statistical methods and modern machine learning tools.

+ Lead development and prototyping of tools that enable easier use of the underlying data by associates and customers.

+ Define API strategy for the product, including business intent for vendor API development.

+ Consolidate industry trends and innovations into product offerings for Capital One customers.

**The Ideal Candidate will be a thought leader, innovator, intellectually curious, creative, unafraid of working in white space, able to attract top data science talent, can lead and coach teams of data science in using the latest data technologies, and comfortable leading the development of products, including development of UX/UI.**

**Basic Qualifications:**

+ Bachelor’s Degree or Military Experience

+ At least 7 years experience and proven success in translating business strategy and analysis into successful digital products

+ At least 5 years Product Management or Development in the digital industry

+ At least 3 years experience leading product teams

+ At least 3 years’ experience in open source programming languages for large scale data analysis

+ At least 3 years’ experience with machine learning

+ At least 3 years’ experience with relational databases

**Preferred Qualifications:**

+ Master’s Degree or PhD

+ 5+ years experience leading product teams

+ Experience with AWS

+ At least 5 years’ experience in Python, Scala, or R

+ At least 5 years’ experience with machine learning

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               

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