Director, Product Development, AI Enablement
About The Position
Capital One’s Product Management organization reimagines the status quo, identifies value-creation opportunities, and delivers innovative, sustainable customer experiences through technology. The Enterprise Data team maximizes the value of the data ecosystem and enables real-time, intelligent experiences on a scalable foundation. It works collaboratively across product, technology, design, risk, and other partners to build a modern data ecosystem. The Director of AI Enablement Product Management is a strategic, hands-on product leader who will rethink how the eData product organization—and ultimately Capital One—works with AI. The role drives enterprise-wide adoption of AI workflows and transforms tools, processes, and success-measurement practices. The ideal candidate is AI-native, actively uses AI tools to increase their output and improve daily workflows, and can scale those practices across a large enterprise. The role requires proficiency in Capital One’s Product Framework: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, and Transformational Leadership. This position is designated hybrid and follows Capital One’s hybrid policy for required on-site presence at the designated office location.
Requirements
- Bachelor’s degree in any field.
- At least 5 years of Product Management experience.
Nice To Haves
- Demonstrated use of AI productivity, prototyping, and coding tools, such as advanced LLM prompting, Cursor, GitHub Copilot, or v0, to accelerate personal product workflows, technical discovery, and delivery.
- Experience translating complex business strategy and operational bottlenecks into scalable internal AI products, developer platforms, or automated enterprise workflows.
- Experience with scaled product operations in fast-paced, technology-forward environments.
- Proven success architecting and scaling internal developer platforms, AI architectures, or enterprise data tools that reduce operational overhead and manual work.
- Experience embedding Responsible AI practices, including transparency, explainability, and compliance, and establishing LLM evaluation pipelines, guardrails, and zero-hallucination thresholds.
- Experience driving enterprise adoption and change management across finance, legal, and business unit leaders, with behavioral shifts and continuous feedback loops.
- Ability to translate complex technical concepts into business value.
- Proven track record owning multi-year product roadmaps and delivering measurable KPIs, such as reporting velocity, data query success rates, or audit efficiency.
Responsibilities
- Drive enterprise-wide adoption of AI workflows and transform how the eData product organization works.
- Improve the tools, processes, and mechanisms used to measure product success through AI enablement.
- Use AI tools to accelerate product workflows, technical discovery, and product delivery.
- Scale effective AI-augmented product practices across the enterprise.
- Lead cross-functional teams to solve customer problems and drive organizational alignment.
- Translate business strategy and operational bottlenecks into scalable internal AI products, developer platforms, or automated enterprise workflows.
- Embed Responsible AI practices and establish LLM evaluation pipelines, guardrails, and accuracy thresholds.
- Drive enterprise adoption and change management, including behavioral shifts and continuous feedback loops.
- Own multi-year product roadmaps and deliver measurable outcomes and KPIs.
Benefits
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
- Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Director
