Manager, Product Management - Workforce & Intelligent Routing Data Product Manager

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILNew York, NY
Salary: $149,800–$171,000 / yr
Posted: 46 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k

This role $160k

$140k most similar roles pay here $243k

This role pays less than 82% of similar roles. Most pay $175,365–$224,000 — the shaded band above. At the midpoint, this role pays about $160k versus about $200k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Product Management - Workforce & Intelligent Routing Data Product Manager

Role Posting Log in to save

Manager, Product Management - Workforce & Intelligent Routing Data Product Manager joins the Workforce & Intelligent Routing team to build an intelligent data backbone that optimizes human capital and machine intelligence. This role involves defining long-term strategies for how workforce data is consumed across the organization while ensuring data products serve as foundational assets rather than isolated silos. The manager will collaborate with Card Data, Enterprise Data, and Technology teams to develop solutions that improve the efficiency of a global workforce. Key responsibilities include translating business strategy into digital products, managing publishing patterns, and navigating ecosystem architecture. The ideal candidate possesses skills in human-centered design, integrated problem solving, and transformational leadership. They must be able to act as a technical translator between data engineers and executive stakeholders to solve complex problems regarding how the enterprise connects customers with expertise.

Skills

Product Management Ecosystem Architecture Publishing Patterns Analytics Statistics Economics Operations Research Software Engineering Information Systems Machine Intelligence Digital Products Business Strategy

What you'll do

Define the long-term strategy for how workforce data is consumed across the entire organization.
Build an intelligent data backbone to optimize the efficiency of the global workforce.
Partner with internal data and technology teams to ensure products function as foundational assets rather than silos.
Translate complex technical requirements into high-level strategic plans for executive stakeholders.
Develop data products that solve specific problems for both internal agents and external customers.
Identify and resolve complex product risks while ensuring execution excellence.
Leverage technology to deliver innovative, resilient solutions for near-term and long-term value.

What we're looking for

Must have a Bachelor's or Master’s degree in a quantitative field, Business, Marketing, or a related field.
Alternatively, must have a Bachelor's degree in any field and at least 3 years of Product Management experience.
Experience translating business strategy and analysis into consumer-facing digital products is preferred.
Ability to define long-term strategies for data consumption across the organization.
Ability to partner with cross-functional teams like Card Data, Enterprise Data, and Technology.
Ability to serve as a technical translator between data engineers and executive stakeholders.
Proficiency in human-centered design to solve problems for diverse user groups.
Ability to lead cross-functional teams to drive organizational alignment and resolve complex problems.

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