Senior Product Manager, Enterprise Model Platform (EMP) Training

Senior Product Manager, Enterprise Model Platform (EMP) Training

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 Team: At Capital One, we don't think like a bank. We're on a mission to change banking for good by using technology to bring ingenuity, simplicity, and humanity to banking. Machine learning is at the heart of our approach. As part of Capital One's Enterprise AI and Machine Learning Product organization, you will contribute directly to shaping the platforms and tools that thousands of engineers, data scientists, and analysts across the business apply to making decisions, managing risk, detecting fraud, and delivering intelligent and personalized customer experiences.

We are seeking a senior Product Manager to join the Enterprise Model Platform (EMP) team to drive the strategy for EMP Pipelines. Supporting hundreds of developers, EMP Pipelines enables users to orchestrate scalable, portable pipelines that can build and train AI models. By building the tools that unlock the power of AI, our team plays a central role in creating individualized, real-time experiences that improve the financial lives of millions of customers.

About the Role: The senior product manager will be accountable for the orchestration engine of EMP Training. Hundreds of users rely on EMP Pipelines, powered by Kubeflow Pipelines, to train and tune ML models. These models power some of Capital One's most critical businesses from fraud detection to credit risk to financial loss forecasting. This product leader will be the primary advocate for these users, transforming user feedback and market opportunities into a clear product roadmap that drives efficiency and innovation. The role of Pipelines is growing rapidly, extending to support model development with highly sensitive human data and internally developed large language models. This role requires a dynamic leader who can navigate the complexities of enterprise platforms and demanding customers to carve out a roadmap that drives Capital One's business through cutting-edge AI capabilities.

Key responsibilities include, but are not limited to:

• Championing the User: Serve as the voice of the user to turn pain points into meaningful UX improvements. Manage a user communication strategy derived from ongoing surveys and feedback gathering. Fully own the user journey from onboarding to progression.
• Driving Platform Excellence: Enhance platform efficiency and performance by creating robust user analytics dashboards, managing intake requests, and partnering with tech teams on compliance and modernization efforts.
• Strategic Execution: Work across the platform with product and tech leadership to shape a roadmap that centers the user experience, promotes a well-governed platform, integrates with the converging ecosystem of products, all while pushing the envelope on new AI-driven capabilities.

The Ideal Candidate: You are passionate about technology and have a genuine understanding of the challenges faced by engineers, data scientists, and analysts. You enjoy finding ways to make complex processes simpler and are not afraid to dive into the technical details of how our systems connect and deploy. As a strong communicator, you can effectively lead discussions with everyone from our technical teams to senior leadership. You stay current with the latest tools and trends in data, machine learning, and AI, and you are a vocal supporter of high-quality work. Your knowledge and drive will be key to pushing our technology forward and creating better, data-driven experiences at Capital One.

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

Basic Qualifications:

• 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

Preferred Qualifications:

• Experience leading product management for enterprise platforms, MLOps, data science, or internal developer tools
• Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes)
• Industry recognized professional certifications (CISSP, GIAC, CISM, CCSP, CISA, CRISC, SAFe Product Management, AWS Security, AWS Advanced Networking Specialty, AWS Solutions Architect)
• Experience translating business strategy and analysis into consumer facing digital products