Manager, Product Management, Data Infrastructure for Collections Platform

Capital One Financial

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
McLean, VANew York, NY
Salary
$164,800–$188,100 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $176k
$156k $248k
below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $169,350–$239,293 — the blue band above. At the midpoint, this role pays about $176k versus about $204k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Product Management, Data Infrastructure for Collections Platform

Manager, Product Management - Data Infrastructure for Collections Platform joins the Operational Data Infrastructure team to bridge the gap between raw data and high-performance, business-ready datasets. The role involves leading the end-to-end lifecycle of scalable data products, driving data consumption for downstream analytics, and enabling machine learning models at scale. Key responsibilities include partnering with Enterprise tech teams to evaluate architectural patterns, writing clear requirements for agile teams, and establishing robust monitoring and audit frameworks. The position requires proficiency in human-centered design, business focus, technology-driven solutions, integrated problem solving, and transformational leadership. This role specifically addresses the technical challenge of managing credit risk by improving data quality, uptime, and query performance to accelerate speed-to-insight for data analyst and business analyst communities within the collections platform.

What you'll do

  • Bridge the gap between raw data and high-performance, business-ready datasets to increase speed to market.
  • Partner with enterprise platforms to evaluate tools, architectural patterns, and data sources to scale core infrastructure.
  • Identify high-leverage capability gaps and engage with process teams to ensure end-to-end operational compliance.
  • Write clear requirements and guide agile teams through test and release cycles to drive feature delivery.
  • Lead the end-to-end lifecycle of scalable data products for downstream analytics and machine learning models.
  • Establish robust monitoring, analytical, and audit frameworks to elevate data quality, uptime, and scalability.
  • Optimize data visualizations, usability, and query performance to empower the data analyst and business analyst communities.
  • Support strategic testing initiatives using advanced methodologies to drive continual strategy improvement.

What we're looking for

  • Must have a Bachelor's or Master's degree in a quantitative field, Business, Marketing, or a related field.
  • Must have a Bachelor's degree in any field and at least 3 years of Product Management experience.
  • Must be able to lead the end-to-end lifecycle of scalable data products for downstream analytics and machine learning.
  • Must be able to write clear requirements and guide agile teams through test and release cycles.
  • Must be able to establish robust monitoring, analytical, and audit framework use cases to elevate data quality.
  • Must be able to partner with enterprise platforms to evaluate tools, architectural patterns, and data sources.
  • Must be able to optimize data visualizations, usability, and query performance for data analyst and business analyst communities.
  • Experience translating business strategy and analysis into consumer-facing digital products (preferred).

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