Senior Director, AI-Driven Product Analytics

Capital One

McLean (VA)

Hybrid

USD 239,000 - 272,000

Full time

6 days ago
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Job summary

Capital One in McLean, Virginia, seeks a Senior Director of Product Analytics and Enablement to lead the eData Product Analytics and Enablement pillar and craft the enterprise data product strategy. You will embed analytics experts into product teams to accelerate delivery, elevate data-driven decision making, and scale AI-enabled insights across the organization.

The role requires strong leadership, cross-functional collaboration, and a track record of driving analytics maturity.

Qualifications

  • Bachelor's Degree or Military experience.
  • 10+ years of project management experience.
  • 5+ years of people management experience.
  • Masters / MBA degree.
  • 12+ years of project management experience.
  • 6+ years of people management experience.
  • PMP, Lean, Agile or Six Sigma certification.
  • Exceptional communication and collaboration skills.
  • Excellent problem solving and influencing skills.

Responsibilities

  • Lead the eData Product Analytics and Enablement pillar.
  • Build the long-term strategy for the Product Enablement function with product teams.
  • Drive the embedded operating model into product domain workflows.
  • Scale an AI-enabled analytics operating model to automate routine reporting.
  • Establish self-service product analytics data infrastructure with standardized metrics.
  • Oversee project management, stakeholder engagement, and delivery coordination.
  • Foster analytics excellence, continuous learning, and talent development.

Skills

PMP
Lean Six Sigma
Agile
Communication
Influencing

Education

Bachelor's Degree or Military experience
Masters / MBA degree

Job description

Capital One in McLean, Virginia, seeks a Senior Director of Product Analytics and Enablement to lead the eData Product Analytics and Enablement pillar and craft the enterprise data product strategy. You will embed analytics experts into product teams to accelerate delivery, elevate data-driven decision making, and scale AI-enabled insights across the organization.

The role requires strong leadership, cross-functional collaboration, and a track record of driving analytics maturity.

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