Director, Product Development, AI Enablement

Capital One•McLean, VA
•Hybrid

About The Position

Capital One’s Enterprise Data team works to maximize the value of its data ecosystem and enable real-time, intelligent experiences on a scalable, future-proof foundation. The team is highly collaborative and brings together 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 reshape how the eData product organization—and ultimately Capital One—works with AI. The role drives enterprise-wide adoption of AI workflows by transforming the tools, processes, and success-measurement mechanisms used across the organization. The successful candidate will personally use AI tools to increase productivity, change daily workflows, and accelerate product delivery, then scale those practices across a large enterprise. The position is hybrid and requires adherence to Capital One’s hybrid policy for on-site presence at the designated office. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One does not sponsor new employment authorization applicants or provide immigration-related support for this position.

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, and v0—to accelerate 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, rather than traditional consumer-facing applications.
  • 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 significantly reduce operational overhead and manual work.
  • Experience embedding responsible AI practices and establishing strict LLM evaluation pipelines, guardrails, and zero-hallucination thresholds.
  • Experience driving enterprise adoption and change management, including behavioral change and continuous feedback loops across finance, legal, and business-unit leaders.
  • Ability to translate complex technical concepts into business value, with a track record of owning multi-year product roadmaps and delivering measurable KPIs.

Responsibilities

  • Drive enterprise-wide adoption of AI workflows and transform organizational operations, tools, processes, and success-measurement mechanisms.
  • Use AI tools to improve personal productivity, transform product workflows, support technical discovery, and accelerate product delivery.
  • Scale AI-enabled working practices across the eData product organization and Capital One.
  • Lead cross-functional product work by addressing customer needs, business outcomes, technology considerations, complex problems, product risks, and organizational alignment.
  • Translate business strategy and operational bottlenecks into scalable internal AI products, developer platforms, or automated enterprise workflows.
  • Architect and scale internal developer platforms, AI architectures, or enterprise data tools to reduce operational overhead and manual work.
  • Embed responsible AI practices, including transparency, explainability, and compliance, and establish LLM evaluation pipelines, guardrails, and zero-hallucination thresholds.
  • Drive enterprise adoption and change management, including behavioral shifts and continuous feedback loops across finance, legal, and business-unit leaders.
  • Own multi-year product roadmaps and deliver measurable KPIs, such as reporting velocity, data query success rates, and audit efficiency.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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