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Senior Associate, Product Manager, Card Intelligence
Senior Associate, Product Manager, Card Intelligence
Product Management
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions, then product management at Capital One may be a fit for you
In this role, you’ll learn the essentials of being a product manager, and we’ll invest in you to grow in four key areas:
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Human Centered
You’ll collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design
You'll breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test
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Business Focused
Demonstrating a growth mindset, you’ll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs
You’ll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk
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Technology Driven
You’ll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology
You’ll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers
You’ll deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy
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Transformational Leadership
By actively participating in horizontal forums, you’ll harness a network of trusted relationships among tech teams, designers, key internal stakeholders and partner teams
You’ll articulate a succinct product roadmap to deliver business value and share with with stakeholders, elevating your team’s results and becoming a product matter expert
About the Team
In Card Intelligence, we’re using Machine Learning (ML), including Generative AI, to build the future of how we work with our customers across the entire customer lifecycle. As a key player in our Card Machine Learning division, you’ll collaborate with talented data scientists and engineers to develop and deploy predictive ML and Generative AI models to help support our fraud prevention teams
You’ll do this by:
Working across teams to build products that enable seamless and scalable anti-fraud models, influence strategic decisions, and contribute to building a thriving product practice in support of our overall Machine Learning capabilities.
Partnering with leaders across our fraud prevention business, data science, and engineering teams to reduce the time it takes to bring models to market through identifying re-usable solution patterns.
Who you are:
A candidate who is intellectually curious and emphasizes personal learning and development
A self-starter who can execute in ambiguous situations by independently aligning core problem statements across stakeholders, and drive progress directly or through partners
An individual who leads with empathy and adjusts well to new information – we work in a complex space that is constantly evolving!
A candidate with a passion for Machine Learning technologies and architecture patterns
Basic Qualifications:
Bachelor’s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, 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.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $111,200 - $126,900 for Sr. Associate, Product Management
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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).
