Director, Corporate Legal & Compliance Enablement - AI and Data Science
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation.
Our Enterprise teams provide the expertise, insights, and partnership that help our business and people succeed. Team Members collaborate across the organization to solve challenges, support informed decision-making, and enable the strategies and initiatives that move our business forward. We value curiosity, continuous learning, and diverse perspectives from people who are passionate about making a meaningful impact on our customers, Team Members, and business.
The Director builds and runs the AI tools, data and analytics that modernize how Corporate Legal & Compliance works. This is a hands-on role for a data scientist who can take a use case from idea to a tested, governed tool in daily use. The Director partners with attorneys, compliance professionals and Engineering, and reports directly to the Chief Legal Officer.
Outcomes and Activities:
_AI, Technology and Innovation_
- Develop and carry out Corporate Legal & Compliance's strategy for responsible AI adoption, aligned with Credit Acceptance's enterprise AI direction.
- Find where AI can improve legal and compliance work, such as contract review, research, drafting, complaint review, dealer and service provider monitoring, and regulatory change tracking.
- Build, test and maintain AI tools personally, using large language models, retrieval, prompt design and workflow automation.
- Redesign workflows with attorneys and compliance leaders so AI handles routine work and people keep legal and compliance judgment.
- Set standards, controls and measures for AI tools, including privileged and consumer data handling, human review and monitoring, in partnership with Engineering.
- Prioritize AI and technology work by legal and compliance quality, consumer and regulatory risk, business impact, scalability and return on investment.
- Track new AI capabil...
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