Senior Manager, Product Management, Machine Learning and AI

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VANew York, NYChicago, IL
Salary: $182,500–$208,300 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k

This role $195k

$161k $248k

below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $177,250–$240,000 — the blue band above. At the midpoint, this role pays about $195k versus about $209k 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.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Product Management, Machine Learning and AI

Role Posting Log in to save

JOB TITLE: Senior Manager, Product Management - Machine Learning and AI As a Senior Manager, Product Management - Machine Learning and AI, you will join the Card Intelligence team within the Marketing & Acquisitions group. You will collaborate with data scientists and engineers to develop and deploy solutions that support customers while building products for seamless, scalable model development. Your core responsibilities include owning and prioritizing three-year ML infrastructure and model delivery roadmaps, defining actionable problem statements, and leveraging customer insights to shape priorities. You will lead agile ceremonies, manage technical design decisions for white space problems, and mentor junior associates. The role requires expertise in iterative software delivery, data-driven success metrics, and translating business strategy into digital products. You will solve complex problems by creating reusable, resilient capabilities within the machine learning and generative AI product areas.

Skills

Machine Learning ML Infrastructure Agile Iterative Software Delivery Model Development

What you'll do

Define clear problem statements and leverage customer insights to shape product priorities and roadmaps.
Own and prioritize three-year ML infrastructure and model delivery roadmaps tied to business outcomes.
Identify leverage points in complex systems and use data to define success metrics.
Partner with technology teams to drive design decisions on white space technical problems.
Lead and facilitate agile ceremonies alongside the Tech Lead to share business strategy and context.
Create reusable, extensible, and resilient capabilities while identifying opportunities when key metrics underperform.
Communicate a three-year vision to senior stakeholders with transparency on risks and impediments.
Recruit, mentor, and develop junior product associates to build a thriving product practice.

What we're looking for

Must have a Bachelor's or Master's degree in a quantitative field, Business, or Marketing.
Must have a Bachelor's degree in any field and at least 4 years of Product Management experience.
Must be able to define actionable problem statements and understand iterative software delivery.
Must be able to own and prioritize three-year ML infrastructure and model delivery roadmaps.
Must be able to communicate complex ideas clearly and influence cross-functional stakeholders.
Must be able to lead agile ceremonies and partner with technology teams on design decisions.
Must be able to recruit, mentor, and develop junior product associates.
Experience translating business strategy and analysis into consumer-facing digital products (preferred).