Senior Manager, Data Analysis - Capital One Software (Remote)

Capital One • Richmond, VA

95d • $175,500 - $200,300 • Remote

About The Position

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. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Capital One Software is on an exciting journey! We bring technology products built by Capital One to enterprise-scale business customers. Our first product, Slingshot, has been in general availability since 2022 and has big plans for customer growth this year. We also recently launched our second product, a vaultless data tokenization solution named Databolt! We are working on a portfolio of new offerings across multiple domains, each of which will be a challenging and rewarding 0-to-1 journey! Join our dynamic Data and Analytics team at Capital One Software, where we are dedicated to transforming data into a strategic asset. Our mission is to empower data-driven decision-making, foster innovation without limits, and secure a competitive advantage like no other. We achieve this by implementing rigorous data governance practices, constructing an analytical data store, and harnessing the power of analytics to unlock valuable insights. As part of our team, you'll collaborate closely with the Software business verticals including Go-to-Market, Product and Tech to deliver tangible business value. Together, we drive innovation, shape strategic initiatives and propel Capital One Software to new heights in the data management landscape. If you're passionate about leveraging data to drive real-world impact and thrive in a collaborative, forward-thinking environment, we want you on our team. Join us and be a catalyst for change in the world of data and analytics.

Requirements

• Bachelor's Degree.
• At least 5 years of experience leading direct or matrixed data teams.
• At least 5 years of experience leading, architecting and delivering critical data and business intelligence initiatives.
• At least 5 years of scripting experience in Python, Spark, and SQL.

Nice To Haves

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline.
• 5+ years of experience managing or developing enterprise data management, data governance or data quality programs.
• 5+ years leading cross-functional teams of Data Engineers, Scientists, Analysts and other disciplines.
• 7+ years delivering data management architectures and strategies.
• 3+ years of experience working with recognized industry data management patterns, methodologies, and techniques (i.e. ISO, PMBOK).
• Possesses data management or tool certifications (CDMP, IDQ Certified, TD Certification, etc).
• 2+ years of experience working with internal and external auditors and Federal regulators.
• 5+ years of experience in process management (Six Sigma, LEAN) and improvement methodologies or 3+ years of experience in Agile practices.

Responsibilities

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.
• Build well-managed data products, data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
• Drive analysis that provides meaningful insights on business strategies.
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
• Build and execute tools to monitor and report on data quality.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree