Senior Manager, Data Analysis, Network Platforms and Product Operations

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NYRichmond, VAMcLean, VAChicago, IL
Salary
$182,500–$208,300 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $195k
$155k most similar roles pay here $247k

This role pays less than 54% of similar roles. Most pay $167,281–$228,000 — the shaded band above. At the midpoint, this role pays about $195k versus about $198k 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 677 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 671 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

Role Posting Log in to save

As a Senior Manager of Data Analysis in the Network Platforms and Product Operations team at Discover Global Payment Network, you will lead the technical strategy and architecture for transforming high-volume transactional data into actionable insights. Your responsibilities include refining analytical frameworks, optimizing backend operational data schemas, and establishing monitoring systems to detect anomalies. You will collaborate with Central Data & Governance teams to align local data assets with enterprise-wide standards while ensuring compliance with global governance mandates. Day-to-day tasks involve assessing the quality of real-time transactional logs, identifying technical issues, and communicating findings through reports and presentations. Preferred qualifications include extensive experience in financial services, manipulating large datasets, and developing statistical models.

Skills

Python SQL Hadoop Spark Kafka Elasticsearch Jupyter Tableau AWS Azure Google Cloud Platform CI/CD Docker Kubernetes Terraform PostgreSQL Snowflake BigQuery Data Governance Predictive Analytics Time-Series Forecasting AI/ML

What you'll do

  • Refine analytical assets and core monitoring framework across network platforms.
  • Plan and execute data architecture projects for automated platform monitoring.
  • Assess quality and performance of real-time transactional data logs.
  • Identify data-driven risks, anomalies, and optimization opportunities proactively.
  • Communicate technical results clearly through operational reports and presentations.
  • Align local NPP data assets with enterprise-wide data strategy and governance.
  • Coach and mentor technical staff on high engineering standards for data utilization.

What we're looking for

  • Bachelor’s Degree in a quantitative field plus at least 7 years of data analytics experience.
  • At least 5 years of experience leading and developing with open source data technologies.
  • 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 and optimizing massive enterprise-scale datasets.
  • At least 2 years of experience managing people and at least 2 years in data governance.

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