Sr. Associate Product Management Enterprise Machine Learning

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Job ID:
R133867

11 West 19th Street (22008), United States of America, New York, New York
Sr. Associate, Product Management, Enterprise Machine Learning
Capital One is a high-tech company, a scientific laboratory, and a nationally recognized brand all in one that reaches tens of millions of consumers. We are a passionate and entrepreneurial team that embraces bold ideas, fosters collaboration and delivers great experiences for our customers. Machine learning is at the heart of our approach. Our teams help us to provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced analytic capabilities. In order to further scale our efforts in this space, we are building a world class machine learning platform. This platform will enable our data scientists and machine learning engineers to take models from conception to production faster and safer than ever before. This work is core to Capital One's mission.
As a Product Manager on the ML Platform team, you will be part of the team delivering one billion in NIBT. The machine learning platform team is focused on building a unified experience for developing and deploying the many models that our customers and business rely on for an amazing banking experience. We are passionate about the value created by enabling machine learning into countless decisions, actions, and experiences everyday.
In this role, you will represent the needs of the customer to inform the platform roadmap and ensure that the capabilities being delivered are aligned with the intended business outcomes. You will also be responsible for feature definition and partnering with tech teams to deliver platform components. The ideal candidate for this role is passionate about technology and deeply empathizes with internal and external customer needs. They are comfortable in conversation with engineering teams as well as stakeholders ranging from data scientists to senior leaders.
Specific responsibilities include, but are not limited to:
Develop and communicate the platform vision and strategy for key components of the platform.
Deeply understand the needs of data scientists and engineers across Capital One
Prioritize the Product Backlog to maximize business and customer outcomes
Incorporate design thinking and analytics to inform product design
Enable collaboration and ensure communication between teams.
Maintain a healthy backlog of work and play a critical role in many agile ceremonies.
Support the team with escalation and resolution of impediments
Serve as the connection between customers, Capital One's mission, and your team.
We want you if you are:
Passionate about building impactful products.
You enjoy putting yourself in the shoes of customers. Even better if you have experience doing this with internal customers.
You have expertise in, or are excited about, machine learning.
You are a learner who is able to quickly get up to speed in a highly technical environment.
You are experienced working in an Agile environment
You are a do-er who can also zoom out and think strategically.
You have excellent oral and written communication skills.
You are highly collaborative and have the ability to influence and lead.
Basic Qualifications:
Bachelor's Degree or military experience
At least 1 year of product management experience or at least 1 year of experience in business analysis, data science, or software engineering
Preferred Qualifications:
Bachelor's degree in computer science or engineering
1 years translating business strategy or analysis into consumer facing digital products
1 years of experience working on core product platforms powering digital experiences
1 years working with cross functional teams as a product owner in an agile development process
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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For technical support or questions about Capital One's recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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