Director, Corporate Legal & Compliance Enablement – AI and Data Science

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $211.7k - $247k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Credit Acceptance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

💸 Finance

💳 Fintech

🚘 Automotive

Finance • Fintech • Automotive

Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.

📋 Description

• Develop and carry out Corporate Legal & Compliance's strategy for responsible AI adoption • Identify opportunities for AI in contract review, research, drafting, complaint review, monitoring and regulatory change tracking • Build, test and maintain AI tools using large language models, retrieval, prompt design and workflow automation • Redesign workflows with attorneys and compliance leaders • Set standards, controls and measures for AI tools, including privileged and consumer data handling, human review and monitoring • Prioritize AI and technology work based on quality, risk, impact, scalability and ROI • Track new AI capabilities and regulator expectations and turn relevant developments into practical tools • Map, simplify, standardize, automate, centralize or redesign legal and compliance workflows • Lead process improvement projects across Legal, Compliance, Servicing, Originations and Engineering • Apply Lean, Agile and design thinking methods and ensure improvements are adopted, measured and sustained • Organize policies, procedures, legal guidance, templates, playbooks and regulatory interpretations • Build a governed knowledge base searchable and citable by people and AI tools • Develop measures of legal and compliance quality, responsiveness, cycle time, outside spend, AI impact and client satisfaction • Build executive dashboards and scorecards for the Chief Legal Officer and leadership team • Measure adoption, use, accuracy and business results for each AI tool • Use data science and analytics to identify compliance trends, control gaps and bottlenecks • Build alignment among legal, compliance and business leaders • Lead training, communication and adoption for new tools and ways of working • Advise department leadership on AI, data and operating model choices • Report directly to the Chief Legal Officer

🎯 Requirements

• Bachelor's degree in data science, computer science, statistics, engineering or a related field, or equivalent experience • 8+ years in data science, machine learning or analytics engineering • 2+ years building generative AI applications that people use in production • Advanced proficiency in Python, SQL, R or another statistical tool • Strong proficiency with Databricks and Claude platforms • Experience with LLM APIs, retrieval-augmented generation, evaluation methods and workflow automation • Experience building dashboards and turning data into recommendations for senior leaders • Experience handling confidential or regulated data • Ability to explain technical work clearly to attorneys and executives • Required degrees must have been earned at accredited institutions of higher education • Preferred: experience in consumer finance, auto finance, banking or another regulated industry • Preferred: experience supporting legal, compliance, risk or audit teams • Preferred: familiarity with model risk management and AI governance frameworks, such as the NIST AI Risk Management Framework • Preferred: experience with contract lifecycle, matter management, speech analytics or GRC platforms • Preferred: graduate degree in a quantitative field

🏖️ Benefits

• 401(K) match • Adoption assistance • Parental leave • Tuition reimbursement • Comprehensive medical, dental and vision • Many nonstandard benefits that make us a Great Place to Work

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