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Business Director, Ai Strategy & Transformation – Enterprise Risk Management

United States, McLean Employment contract 230400.00 - 263000.00 USD / Year · Job Posted July 03, 2026
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Job Description

The Director of AI Strategy & Transformation for Enterprise Risk Management is a strategic leadership role focused on modernizing enterprise risk management through technology and data-driven insights. 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.

Job Responsibility

  • Lead and develop a specialized Data & Analytics team focused exclusively on transformational initiatives
  • Direct hypothesis-driven data exploration to identify where and how risk management programs, processes, and methodologies should evolve
  • Foster a complementary ecosystem between D&A and AI
  • Use data to continuously measure the impact of transformational changes
  • Formulate a multi-year AI vision and strategy for ERM
  • Design a balanced implementation roadmap that delivers immediate quick wins
  • Establish a clear prioritization framework to evaluate potential AI use cases
  • Secure executive alignment through clear business cases
  • Define the data, technology, and change-management plans required to sustainably support AI tools
  • Identify and prioritize high-impact opportunities to use AI, Machine Learning, and Large Language Models
  • Partner directly with Product, Tech, and Data teams to build, test, and deploy custom internal AI tools
  • Review successful AI projects and tools used in other parts of the company and adapt those proven technologies
  • Use advanced models like Gemini and Claude in day-to-day risk management workflows
  • Build automated workflows that use AI to parse and analyze large volumes of unstructured data
  • Layer AI capabilities on top of existing risk management systems
  • Lead the practical training and upskilling of the ERM team
  • Define and track clear metrics to measure the success of AI adoption

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

Nice to have

  • Master’s Degree
  • 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

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits

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