Primary Responsibilities
The Data & ML 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.
Our Teams Data Product Managers:
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.
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 -
Basic Qualifications:
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
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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