Senior Director, Product Management, Enterprise AI/ML

Capital One Financial

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: McLean, VASan Francisco, CAChicago, ILNew York, NY
Employment: Full-time
Posted: 64 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $224k

$174k $277k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $185,375–$262,950.

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 · Senior Director, Product Management, Enterprise AI/ML

Role Posting Log in to save

The Sr. Director, Product Management - Enterprise AI/ML will lead a product team overseeing the Machine Learning and AI platforms. This leader is responsible for the capabilities that enable associates to train and serve Models and Generative/Agentic AI applications. Day-to-day responsibilities include defining the Generative AI and ML Platform vision and strategy, evolving industry-leading capabilities, and partnering with adjacent platform leaders to maintain a cohesive enterprise ecosystem. The role requires deep domain expertise in AI/ML technologies for data scientists and familiarity with emerging infrastructure for autonomous multi-agent systems. Key technical skills and tools include AWS, Kubernetes, Spark, Ray, and LangChain. The position solves the complex business problem of providing a pristine user experience for innovators while managing AI Risk Management in a data-intensive environment.

Skills

Generative AI Machine Learning Agentic AI AWS Kubernetes Spark Ray LangChain Open Source AI Risk Management

What you'll do

Define the vision and strategy for Generative AI and Machine Learning platforms.
Lead a product team responsible for capabilities that enable associates to train and serve models.
Evolve AI/ML platforms to provide a high-quality user experience for data scientists and software developers.
Partner with adjacent platform leaders to maintain a cohesive and integrated enterprise platform ecosystem.
Drive the adoption of Generative AI and autonomous multi-agent systems across the business.
Translate business strategy into technical product requirements for data-intensive environments.
Manage AI risk while delivering innovative and resilient technology solutions.

What we're looking for

Bachelor's degree in any field.
At least 7 years of Product Management experience.
Experience translating business strategy and analysis into consumer facing digital products (preferred).
7+ years of experience within a large, data-intensive multi-line of business environment with significant complexity and scale (preferred).
3+ years of experience in people leadership (preferred).
5+ years of experience in innovative technology environments that embrace public cloud and open source technologies (preferred).
3+ years experience building business-critical AI and Machine Learning products (preferred).
Experience in AI Risk Management (preferred).

Save