Sr. Director, Data Analysis - Software; Remote

Sr. Director, Data Analysis - Software (Remote)

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud.

And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. In 2025 we launched Databolt, our second product.

Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way.

Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.

As a Senior Director, Data at Capital One Software, you will apply your strategic and analytical skills to major business challenges. You’ll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

In this role, you will lead a growing team of data scientists, analysts, engineers. You will partner with people within the Software business and across the enterprise and at external agencies and platforms. Your work will drive direct and immediate business results, and your efforts will fuel the growth of Capital One Software.

General responsibilities

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

• 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 analytics

• Strong business judgment, leadership and integrity:
They 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. They should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results

This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Prior experience creating organization roadmaps and driving strategy/program execution.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 10 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 8 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 8 years of experience performing professional data analysis work

• At least 8 years of experience leading and developing with open source data technologies

• At least 6 years of experience managing people

Preferred Qualifications

• Master’s Degree

• 10+ years of Professional Data Analysis experience

• 6+ years of Big Data experience (AWS and…