# Senior Manager, Product Management - Machine Learning and AI

**Company**: Capital One
**Location**: McLean, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $182,500 - $208,300 for Chicago, IL; $200,700 - $229,100 for McLean, VA; $219,000 - $249,900 for New York, NY
**Category**: Product Management
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Manager--Product-Management---Machine-Learning-and-AI_R247340-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9d59485d-4e1

## Description

Product Management at Capital One is a vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.

As a Senior Manager in Product Management, you will guide your team and collaborate with cross-functional stakeholders with a focus on four key areas:

**Human Centered**

- Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of iterative software delivery

- Leverage customer insights to shape priorities and roadmap development while advocating for and driving alignment between stakeholders

**Business Focused**

- Own and prioritize three-year ML infrastructure and model delivery roadmaps that tie to business outcomes

- Identify points of leverage in complex problems or systems, and utilize data effectively to define success metrics

- Exercise balanced judgment in decisions about risks of both actions taken and not taken while innovating in a well-managed way

**Technology Driven**

- Understand and leverage technology and end-state architecture vision to partner with technology teams to drive comprehensive design decisions on white space technical problems

- Share business strategy and roadmap with Tech partners to establish context while also leading and facilitating agile ceremonies alongside Tech Lead

- Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing

**Transformational Leadership**

- Develop and communicate a 3-year vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence

- Attract and recruit top talent, and be intentional about mentoring and developing junior product associates

We want you if you are:

- Intellectually Curious, a communicator and influencer, a do-er, passionate and customer-focused, a learner, and a team player

Basic Qualifications:

- 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 or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing

OR

- Bachelor's degree in any field and at least 4 years of Product Management experience

The minimum and maximum full-time annual salaries for this role are:

- Chicago, IL: $182,500 - $208,300

- McLean, VA: $200,700 - $229,100

- New York, NY: $219,000 - $249,900

## Skills

### Required
- Machine Learning
- AI
- Product Management
- Statistics
- Economics
- Operations Research
- Analytics
- Mathematics
- Computer Science
- Computer Engineering
- Software Engineering
- Mechanical Engineering
- Information Systems

### Nice to have
- Experience translating business strategy and analysis into consumer-facing digital products

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Manager--Product-Management---Machine-Learning-and-AI_R247340-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)