Senior Manager, Data Analysis - Network Platforms and Product Operations

Capital One is hiring a Senior Manager, Data Analysis for the Discover Global Payment Network Platform Operations Tower in New York, NY. In this onsite role, you will turn high-volume transactional data streams into analytical assets that support network platforms, value-added services, and servicing portals.

Responsibilities

• Refine analytical assets and the core monitoring framework across the Network Platforms and Products (NPP) tower.
• Plan and deliver data architecture initiatives and automated platform monitoring projects.
• Evaluate the quality, scalability, and performance of real-time transactional data logs, including authentication, settlement, and portal logs, and determine how those logs are used across product domains.
• Analyze complex technical gaps in network data and proactively assess data-driven risks, anomalies, and operational optimization opportunities.
• Present technical results and data trends clearly through operational reporting, dashboards, and executive presentations, using both verbal and written communications.
• Collaborate with the Central Global Analytics team to align NPP data assets with enterprise data strategy, cloud infrastructure, and global governance requirements.
• Coach and mentor technical staff, establishing high engineering standards for data utilization within the team.

Requirements

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

Preferred Qualifications

• 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 the financial services industry.
• At least 5 years of experience developing statistical or econometric models.
• At least 5 years of experience 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.

Compensation and Location

• Location: New York, NY (onsite)
• Salary: USD 219,000 - 249,900 per year

Benefits

• Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
• Comprehensive, competitive, and inclusive health, financial, and other benefits designed to support total well-being.