Product Manager (Data) - Business Cards & Payments
Capital One
Product Manager (Data) - Business Cards & Payments
Job Description
Overview
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 TeamIn Business Cards & Payments (BC&P), we are on a mission to pave the path for businesses to do more business. We aspire to be at the heart of our business customer’s financial ecosystem with market leading products, simple & intuitive experiences that bring undeniable value.As aData Product Manager on theBusiness Cards & Payment team, you will take ownership for our existing ML product and its data pipelines. You will work closely with business analysts, engineers, data scientists, product managers, and other cross functional teams to create integrated roadmaps, prioritize development, manage releases, define metrics and key results that will ladder up to customer and business value.Primary Responsibilities
The Data Product Manager is responsible for the core ML prediction product and its associated data within our product ecosystem.
Define the vision for the ML prediction product and its data pipelines that solves customer problems and brings business value.
Develop a 12 month+ roadmap (updated quarterly) for the core ML product and socialize with stakeholders for buy-in.
Lead team(s) of data scientists, software and data engineers to develop and implement ML model improvements, partnering with Enterprise teams where possible. Ensure that the technical architecture supports the evolving needs of current and future use cases.
Implement best practices in data and ML model pipelines to improve data quality and model accuracy. Ensure compliance with Enterprise data requirements and data patterns.
Design and implement A/B tests and experiments related to data quality, model performance, and system reliability. Analyze results and identify areas for improvement. Communicate the results of back-end tests and experiments to stakeholders. Partner with analysts, data scientists, designers, engineers, and others to continuously harvest insights from experiments and refine the roadmap.
Define product requirements, rationalize & recommend sequencing, goal setting, story writing, product execution, testing, and product roll-out strategy.
Define and track key performance indicators (KPIs) related to ML model performance, data quality, and system performance.
Champion the implementation of robust monitoring and alerting systems to detect and address data quality issues, ML feature or model drift and performance degradation. Partner with other internal teams on data quality standards and enhancements.
Identify and address technical challenges and roadblocks.
Have a customer-first mindset
Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into requirements that promote consistent, reusable and interoperable data consumption.
Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholders.
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging.
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners.
Have product centric mindset to take a product from ideation to production and continually iterate improvements.
Have working knowledge and passion for emerging technologies to incorporate into building great products. Proficiency in handling large data files using SQL, Python, and/or R.
Someone who is not afraid to challenge the norm and do what is right for the team.
Creating and maintaining a healthy team culture through thoughtful leadership .
Results focused and able to manage and prioritize multiple projects simultaneously.
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 3 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
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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.comCapital 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).
Locations
- McLean, Virginia McLean, VirginiaNew York
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning product managementintermediate
- Data pipeline managementintermediate
- SQL/Python/R proficiencyintermediate
- A/B testing and experimentationintermediate
- Cross-functional collaborationintermediate
- Roadmap developmentintermediate
- Stakeholder communicationintermediate
- ML model monitoringintermediate
Required Qualifications
- At least 3 years of experience working in Product Management (experience)
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or related) (experience)
- Master's Degree in a quantitative field or MBA with quantitative concentration (preferred) (experience)
Responsibilities
- Take ownership for existing ML product and its data pipelines
- Define vision for ML prediction product and data pipelines
- Develop and maintain 12 month+ roadmap updated quarterly
- Lead data scientists, software and data engineers to implement ML improvements
- Implement best practices in data and ML model pipelines for quality and accuracy
- Design and implement A/B tests and experiments
- Define and track KPIs for ML model, data quality, and system performance
- Champion monitoring and alerting systems for data quality and model drift
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Product Manager (Data) - Business Cards & Payments @ Capital One.
Related Books and Jobs
Product Manager (Data) - Business Cards & Payments
Capital One
Product Manager (Data) - Business Cards & Payments
Job Description
Overview
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 TeamIn Business Cards & Payments (BC&P), we are on a mission to pave the path for businesses to do more business. We aspire to be at the heart of our business customer’s financial ecosystem with market leading products, simple & intuitive experiences that bring undeniable value.As aData Product Manager on theBusiness Cards & Payment team, you will take ownership for our existing ML product and its data pipelines. You will work closely with business analysts, engineers, data scientists, product managers, and other cross functional teams to create integrated roadmaps, prioritize development, manage releases, define metrics and key results that will ladder up to customer and business value.Primary Responsibilities
The Data Product Manager is responsible for the core ML prediction product and its associated data within our product ecosystem.
Define the vision for the ML prediction product and its data pipelines that solves customer problems and brings business value.
Develop a 12 month+ roadmap (updated quarterly) for the core ML product and socialize with stakeholders for buy-in.
Lead team(s) of data scientists, software and data engineers to develop and implement ML model improvements, partnering with Enterprise teams where possible. Ensure that the technical architecture supports the evolving needs of current and future use cases.
Implement best practices in data and ML model pipelines to improve data quality and model accuracy. Ensure compliance with Enterprise data requirements and data patterns.
Design and implement A/B tests and experiments related to data quality, model performance, and system reliability. Analyze results and identify areas for improvement. Communicate the results of back-end tests and experiments to stakeholders. Partner with analysts, data scientists, designers, engineers, and others to continuously harvest insights from experiments and refine the roadmap.
Define product requirements, rationalize & recommend sequencing, goal setting, story writing, product execution, testing, and product roll-out strategy.
Define and track key performance indicators (KPIs) related to ML model performance, data quality, and system performance.
Champion the implementation of robust monitoring and alerting systems to detect and address data quality issues, ML feature or model drift and performance degradation. Partner with other internal teams on data quality standards and enhancements.
Identify and address technical challenges and roadblocks.
Have a customer-first mindset
Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into requirements that promote consistent, reusable and interoperable data consumption.
Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholders.
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging.
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners.
Have product centric mindset to take a product from ideation to production and continually iterate improvements.
Have working knowledge and passion for emerging technologies to incorporate into building great products. Proficiency in handling large data files using SQL, Python, and/or R.
Someone who is not afraid to challenge the norm and do what is right for the team.
Creating and maintaining a healthy team culture through thoughtful leadership .
Results focused and able to manage and prioritize multiple projects simultaneously.
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 3 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
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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.comCapital 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).
Locations
- McLean, Virginia McLean, VirginiaNew York
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learning product managementintermediate
- Data pipeline managementintermediate
- SQL/Python/R proficiencyintermediate
- A/B testing and experimentationintermediate
- Cross-functional collaborationintermediate
- Roadmap developmentintermediate
- Stakeholder communicationintermediate
- ML model monitoringintermediate
Required Qualifications
- At least 3 years of experience working in Product Management (experience)
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or related) (experience)
- Master's Degree in a quantitative field or MBA with quantitative concentration (preferred) (experience)
Responsibilities
- Take ownership for existing ML product and its data pipelines
- Define vision for ML prediction product and data pipelines
- Develop and maintain 12 month+ roadmap updated quarterly
- Lead data scientists, software and data engineers to implement ML improvements
- Implement best practices in data and ML model pipelines for quality and accuracy
- Design and implement A/B tests and experiments
- Define and track KPIs for ML model, data quality, and system performance
- Champion monitoring and alerting systems for data quality and model drift
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Product Manager (Data) - Business Cards & Payments @ Capital One.
Related Books and Jobs