Senior Manager, Data Analysis - Network Platforms and Product Operations

Capital One; New York (NY); On-site; USD 219,000 - 250,000; Full time

Job summary

Capital One seeks a Senior Manager of Data Analysis for the Network Platforms and Product Operations tower in New York. The role leads data architecture, analytics strategy, and platform monitoring initiatives across high-volume transactional data streams.

You will drive data-driven insights, partner with global analytics, and mentor engineers to elevate data utilization across the team. The position emphasizes leadership in analytics, experience with open-source data tools, and a track record

Qualifications

• Bachelor’s degree in a quantitative field plus 7+ years of data analytics experience, or Master’s with 5+ years.
• At least 5 years of professional data analysis experience.
• At least 2 years of people management experience.

Responsibilities

• Refine analytical assets and monitoring framework across Network Platforms and Products.
• Plan and execute data architecture and automated platform monitoring projects.
• Assess quality, scalability, and performance of real-time data logs across product domains.
• Identify data-driven risks, anomalies, and optimization opportunities.
• Communicate results and trends in reports, dashboards, and leadership presentations.
• Collaborate with Global Analytics to align local data assets with enterprise strategy and governance.
• Coach and mentor technical staff to uphold high data utilization standards.

Skills

Data analytics

Open source data technologies

People management

Leadership

Education

Bachelor's degree (quantitative field)

Master’s degree or PhD (Data Science/CS/Statistics/Math/OR)

Job description

Senior Manager, Data Analysis - Network Platforms and Product Operations

At Capital One, data is at the center of everything we do. This role, within the Platform Operations Tower, serves as the technical architect and strategic leader responsible for transforming massive, high‑volume transactional data streams into core analytical assets.

Responsibilities

• Refine analytical assets and core monitoring framework across the Network Platforms and Products (NPP) tower.
• Plan and execute data architecture and automated platform monitoring projects.
• Assess 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.
• Understand complex technical issues and gaps in network data and proactively assess data‑driven risks, anomalies, and operational optimization opportunities.
• Communicate technical results and data trends clearly and concisely both verbally and through written communications via operational reports, dashboards, and executive presentations.
• Partner with the Central Global Analytics team to align local NPP data assets with enterprise data strategy, cloud infrastructure, and global governance mandates.
• Coach and mentor technical staff, setting high engineering standards for data utilization across the team.

Basic Qualifications

• Has 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 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.

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 financial services industry.
• At least 5 years of experience in 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.

Salary and Benefits

Salary ranges by location: Sales Territory: $182,500–$208,300; McLean, VA: $200,700–$229,100; Richmond, VA: $182,500–$208,300; NewYork, NY: $219,000–$249,900. Eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

CapitalOne offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

Equal Opportunity Employer

CapitalOne is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. CapitalOne promotes a drug‑free workplace. CapitalOne will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.