Capital One

Capital One

Business Director, AI Strategy & Transformation – Enterprise Risk Management

McLean, VA · Director · Part-time

Sponsorship not specified$230k-$263kDetected 22 days ago
Machine LearningData AnalysisLLMsProject ManagementCustomer SupportLeadershipCommunicationCollaboration

About the role

  • This leader will set the long-term vision and strategy for integrating Artificial Intelligence, Machine Learning, advanced language models, and transformational data analytics into ERM processes.
  • Distinct from our established ERM Data, Analytics, and Reporting function, this specialized Data & Analytics team will be solely dedicated to transforming how we conduct risk management.
  • The ideal candidate will balance a multi-year vision with the delivery of immediate, practical quick wins.

Responsibilities

  • Lead and develop a specialized Data & Analytics team focused exclusively on transformational initiatives, operating distinctly from the existing Business As Usual (BAU) data team.
  • Direct hypothesis-driven data exploration to identify where and how risk management programs, processes, and methodologies should evolve to drive value, time savings, and enhanced risk oversight.
  • Design a balanced implementation roadmap that delivers immediate quick wins, such as automating highly manual tasks and processes to prove value early while simultaneously building toward long-term, foundational AI capabilities.
  • Partner directly with Product, Tech, and Data teams to build, test, and deploy custom internal AI tools specifically tailored for risk managers and compliance officers.
  • Build automated workflows that use AI to parse and analyze large volumes of unstructured data.
  • Lead the practical training and upskilling of the ERM team, ensuring risk professionals know how to effectively use, prompt, and validate the outputs of new AI tools.
  • The Director will guide this team to test hypotheses, identify opportunities to adjust our methodologies, and build data-driven business cases for our destination state.

Requirements

  • Bachelor's Degree
  • At least 4 years of experience performing quantitative analysis
  • At least 4 years of experience performing qualitative analysis
  • At least 2 years of experience performing people management
  • At least 2 years of experience performing project management
  • Define the data, technology, and change-management plans required to sustainably support AI tools over time, ensuring the team transitions smoothly from legacy processes to AI-assisted workflows.
  • Strong understanding of modern data setups, including how AI models search internal documents, connect to existing databases, and automate workflows.

Nice to have

  • 2+ years of experience in financial services
  • 1+ year of experience in consulting
  • 3+ years of experience in Enterprise Risk Management, Operational Risk, or Technology Management, with a track record of successfully delivering technology modernization projects
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  • Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
  • McLean, VA: $230,400 - $263,000 for Business Director
  • Incentives could be discretionary or non discretionary depending on the plan.
  • Learn more at the Capital One Careers website.

Compensation

  • The minimum and maximum full-time annual salaries for this role are listed below, by location.

Benefits

  • Formulate a multi-year AI vision and strategy for ERM that sets a clear long-term direction for modernizing enterprise risk management while remaining aligned with the overall enterprise strategy.
  • Identify and prioritize high-impact opportunities to use AI, Machine Learning, and Large Language Models to improve the speed, accuracy, and efficiency of enterprise risk management processes.
  • Strong communication skills, with the ability to clearly explain the benefits and limitations of AI technologies to senior leaders.

This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.