Senior manager product management - data collections
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.
About The Role This Product Manager would be leading a team dedicated to building out and expanding operational data infrastructure, integrating machine learning models into our ecosystem, and working closely with partner teams to enable smarter segmentation and decisioning. Scope includes working with Enterprise platforms to identify new technology, patterns and data sources, business partners to identify the highest leverage areas for expanding capabilities, and with risk management to ensure our process works seamlessly end to end. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:- Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions
- Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence
- Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
- Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks
- Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment
- At least 5 years of experience working in Product Management
- 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 (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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
- Experience translating business strategy and analysis into consumer facing digital products
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