Overview
Sr. Director, Product Management - AI/ML Platform Intelligence
Sr. Director, AI/ML Platform Intelligence will lead a product team spanning the Machine Learning and Generative AI platforms at Capital One. The role is responsible for core platform services for the AI/ML platform that powers mission-critical business applications. This leader will partner with technology, risk, security, and business teams to monitor platform performance, identify issues, and support resilience.
Responsibilities
- Lead a product team focused on AI/ML platform intelligence, including machine learning and generative AI platform services.
- Set strategy and priorities grounded in technical understanding and user experience for data scientists and software engineers.
- Partner with technology, risk, security, and business teams to monitor platform performance, identify issues, and support resilience.
- Measure benefits of more powerful, faster capabilities and improved developer experience.
- Drive product management excellence through the Capital One Product Framework: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, Transformational Leadership.
Basic Qualifications
- At least 9 years of experience working in Product Management.
- Current or in-process for one of the following degrees, with the expectation to obtain the degree by 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 related quantitative field).
- A Master's Degree in a quantitative field (same list) or an MBA with a quantitative concentration.
Preferred Qualifications
- Experience translating business strategy and analysis into consumer-facing digital products.
- 5+ years of experience in people leadership.
- 3+ years in innovative technology environments that embrace public cloud and open source technologies.
- 3+ years building business-critical AI and Machine Learning products.
- Experience with AI/ML technologies such as Kubernetes, Observability, Security, AI/ML Experiment Management, or Model Monitoring.
- Experience in Gen AI Application Evaluation, MLOps, or AIOps.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Equity, inclusion, and total well-being are supported through the Capital One Careers website; eligibility varies by status.
If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-###-#### or via email at ...@capitalone.com.
Capital One does not guarantee or endorse third-party products or services available through this site. Capital One Financial is comprised of several entities; position postings may refer to Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp. (COPSSC) as applicable by location.
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