Senior Manager, Data Analysis - Network Platforms and Product Operations

Capital One • McLean, VA

2d • $182,500 - $249,900

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. At the Discover Global Payment Network, data is the engine that powers our core platforms and products. As a Senior Manager, Data Analysis within the Platform Operations Tower, you will be the technical architect and strategic leader responsible for helping transform massive, high-volume transactional data streams into core analytical assets. Operating alongside our Senior Managers of Business Analysis, you will own data strategy, architecture, and modeling frameworks for core network platforms, value-added services, and servicing portals. You will establish the technical roadmap for monitoring and anomaly detection, optimize complex backend operational data schemas, and serve as a technical interface with the Central Data & Governance teams.

Requirements

• Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 5 years of experience performing professional data analysis work
• At least 5 years of experience leading and developing with open source data technologies
• At least 2 years of experience managing people

Nice To Haves

• Master’s Degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related field
• At least 7 years of hands-on experience working with high-volume, semi-structured transactional and application log data.
• At least 5 years of experience manipulating, optimizing, and performing analysis with massive, enterprise-scale datasets.
• At least 5 years of experience in financial services industry
• At least 5 years of experience in developing statistical or econometric models
• At least 5 years of experience in validating statistical or econometric models
• At least 2 years of experience with data governance
• At least 2 years of experience with predictive analytics, time-series forecasting, or implementing AI/ML tools in production environments.

Responsibilities

• Refining the analytical assets and core monitoring framework across the Network Platforms and Products (NPP) tower.
• Planning and executing data architecture and automated platform monitoring projects.
• Assessing the quality, scalability, and performance of real-time transactional data logs (e.g., auth, settlement, and portal logs) and the nature of their usage across product domains.
• Understanding complex technical issues and gaps in network data and proactively assessing data-driven risks, anomalies, and operational optimization opportunities.
• Communicating technical results and data trends clearly and concisely both verbally and through written communications via operational reports, dashboards, and executive presentations.
• Partnering with the Central Global Analytics team to align local NPP data assets with enterprise data strategy, cloud infrastructure, and global governance mandates.
• Coaching and mentoring technical staff, setting high engineering standards for data utilization across the team.

Benefits

• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
• performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior