Senior Associate Product Management, Machine Learning and AI

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VANew York, NYChicago, IL
Employment
Full-time
Posted
99 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $201k
$150k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $170,250–$231,975.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Senior Associate Product Management, Machine Learning and AI

The Senior Associate Product Management - Machine Learning and AI joins the Card Intelligence Marketing & Acquisitions team to develop and deploy machine learning solutions. In this role, you will collaborate with data scientists and engineers to build products that enable seamless and scalable model development while influencing strategic decisions. Day-to-day responsibilities include breaking down business epics into user stories, defining acceptance criteria, and owning feature development roadmaps within an agile environment. You will utilize hypothesis-driven data assessment to ensure features meet business needs and deliver well-managed product platforms. Key competencies include product design, business analysis, data science, and software engineering. The work focuses on using machine learning to improve customer engagement and acquisition strategies, ultimately helping customers make smarter financial choices through innovative technology.

What does a Product Management earn?

Median $119050 from 34 postings across 6 companies.

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What you'll do

  • Break down business epics into specific features and user stories to drive Minimal Viable Product (MVP) testing.
  • Build comprehensive acceptance criteria with tech teams and identify research needs for future feature designs.
  • Own and prioritize feature development roadmaps while ensuring all risk management processes are followed.
  • Use hypothesis-driven data assessments to ensure product features deliver on real business needs.
  • Collaborate with data scientists and engineers to develop and deploy machine learning solutions.
  • Conduct research to develop features that utilize new and evolving technologies in an agile environment.
  • Articulate succinct product roadmaps to stakeholders to demonstrate business value and technical results.
  • Deliver well-managed product platforms by analyzing technology trends and architecture strategy.

What we're looking for

  • 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.
  • Bachelor’s degree in computer science or engineering (preferred).
  • 1+ years translating business strategy or analysis into consumer facing digital products (preferred).
  • 1+ years of experience working on core product platforms powering digital experiences (preferred).
  • 1+ years working with cross functional teams as a product owner in an agile development process (preferred).

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