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Business Manager - AIML Product Strategy

Job in McLean, Fairfax County, Virginia, USA
Listing for: Capital One National Association
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 164800 - 188100 USD Yearly USD 164800.00 188100.00 YEAR
Job Description & How to Apply Below

Business Manager - AIML Product Strategy

About Capital One

At Capital One, we have been relentlessly innovating since Day 1. We are a nationally recognized brand and a leading tech company touching over 100 million households. Founder-led, Capital One has grown to annualized ~$75 billion in revenue in just over 20 years.

We consider ourselves the bank a technology company would build. We are the only large bank who is all-in on the cloud, and we build our own software, contributing heavily to the open-source community. We are at the frontier of AI not just in our industry, but in the world  world-class AI and ML talent (Ranted #1 in the Evident AI index for AI Talent) shapes the frontier of AI;

we are in the top 5 US organizations in AI patent application volume – and our papers are routinely featured at top AI conferences (e.g., ICML, NeurIPS, etc.).

Many companies claim to be tech companies – we actually live it.

About the team & role

The Enterprise AI and Machine Learning (AIML) team builds the AI & ML platforms that our company leverages to build all things AI. The platforms deliver the infrastructure, foundation models, and a host of reusable capabilities that enable teams to build cutting-edge AI use cases across the business servicing, marketing, credit underwriting, fraud detection, and more. Capital One is a platform company, and these platforms are the de-facto way to build with AI at Capital One.

As a Business Manager on Capital One's AIML Product Strategy team, you will apply your strategic and analytical skills to shape the destination of AI at Capital One.

You will work alongside a team of strategists and our AIML senior leadership to identify the key leverage points and define the strategy for our world-leading organization. You will solve critical business problems, and help us shape Capital One's AI strategy, in support of our mission to be at the Frontier of AI. You will do it all as part of a highly collaborative, agile team environment - where you will unlock tremendous learning and growth.

Key

focus areas
  • Setting the destination vision for our AI & ML platforms, working alongside leaders in our AI organization and business

  • Working back from our customers and internal partners, to identify the outcomes we seek and the reusable capabilities and services we need

  • Build storylines and materials to roll out our AIML strategy across the company

  • Help bring our vision to life by working with stakeholders in our lines of business and our AIML teams on "on-the-ground" problem solving

  • Shaping our strategy and the continuous delivery and improvement of our AI platform capabilities

Who we are looking for

We are looking for a general athlete, strategic and analytical thinker, and a world-class communicator. This role will require exceptional strategic thinking, high learning agility in the domain of AI, the ability to influence senior leaders, and the great teamwork in leading and working alongside a team of strategists.

Basic Qualifications
  • At least 3 years of professional experience performing analysis

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)
    • A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or…
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