Senior Manager, Data Analysis - Network Platforms and Product Operations

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYRichmond, VAMcLean, VAChicago, IL
Salary
$182,500–$208,300 / yr
Posted
73 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $195k
$156k most similar roles pay here $248k

This role pays less than 60% of similar roles. Most pay $172,187–$230,675 — the shaded band above. At the midpoint, this role pays about $195k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analysis - Network Platforms and Product Operations

As Senior Manager, Data Analysis - Network Platforms and Product Operations, you will join the Platform Operations Tower to serve as a technical architect and strategic leader. You will transform high-volume transactional data streams into core analytical assets while owning data strategy, architecture, and modeling frameworks for network platforms, value-added services, and servicing portals. Your daily responsibilities include refining monitoring frameworks, executing automated platform monitoring projects, and assessing the quality of real-time transaction logs like auth and settlement records. You will identify technical gaps, manage risks, and communicate findings through dashboards and executive presentations. The role requires expertise in open source data technologies, statistical or econometric modeling, predictive analytics, time-series forecasting, and AI/ML tools. You will also mentor staff and align local assets with enterprise cloud infrastructure and global governance mandates within the payment network domain.

What you'll do

  • Transform high-volume transactional data streams into core analytical assets for network platforms and products.
  • Own the data strategy, architecture, and modeling frameworks for core network platforms and servicing portals.
  • Establish technical roadmaps for monitoring systems and automated anomaly detection.
  • Optimize complex backend operational data schemas to improve performance and scalability.
  • Assess the quality and risk of real-time transactional data logs across various product domains.
  • Communicate technical results and data trends through reports, dashboards, and executive presentations.
  • Align local data assets with enterprise strategy, cloud infrastructure, and global governance mandates.
  • Coach and mentor technical staff while setting high engineering standards for data utilization.

What we're looking for

  • Bachelor's degree in a quantitative field or a Master's degree currently in progress with at least 5 years of data analysis experience.
  • At least 7 years of experience performing data analysis if holding a Bachelor's degree.
  • At least 5 years of experience leading and developing with open source data technologies.
  • At least 2 years of experience managing people.
  • At least 7 years of 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 and validating statistical or econometric models.

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