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

This is a fully remote position, open to applicants in United States.

📋 Description

• Formulate and implement the strategy for responsible AI adoption within Corporate Legal & Compliance.

• Discover opportunities for AI integration in contract review, research, drafting, complaint analysis, monitoring, and tracking regulatory changes.

• Construct, test, and maintain AI tools utilizing large language models, retrieval systems, prompt engineering, and workflow automation.

• Revamp workflows in collaboration with attorneys and compliance leaders.

• Establish standards, controls, and metrics for AI tools, encompassing privileged and consumer data management, human oversight, and monitoring.

• Prioritize AI and technology initiatives based on quality, risk, impact, scalability, and return on investment (ROI).

• Monitor emerging AI capabilities and regulatory expectations, transforming pertinent developments into practical tools.

• Map, simplify, standardize, automate, centralize, or redesign workflows in legal and compliance.

• Lead process enhancement projects across Legal, Compliance, Servicing, Originations, and Engineering functions.

• Employ Lean, Agile, and design thinking methodologies, ensuring that improvements are embraced, assessed, and sustained.

• Organize policies, procedures, legal guidance, templates, playbooks, and regulatory interpretations.

• Create a governed knowledge base that is searchable and citable for both individuals and AI tools.

• Develop metrics for assessing the quality of legal and compliance functions, responsiveness, cycle times, external spending, AI impact, and client satisfaction.

• Design executive dashboards and scorecards for the Chief Legal Officer and the leadership team.

• Evaluate adoption, usage, accuracy, and business outcomes for each AI tool.

• Utilize data science and analytics to uncover compliance trends, identify control gaps, and address bottlenecks.

• Foster alignment among legal, compliance, and business leaders.

• Spearhead training, communication, and adoption initiatives for new tools and operational methodologies.

• Provide counsel to department leadership on AI, data, and operational model options.

• 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.

• Over 8 years of experience in data science, machine learning, or analytics engineering.

• At least 2 years of experience in developing generative AI applications for production use.

• Advanced skills in Python, SQL, R, or other statistical tools.

• Strong expertise with Databricks and Claude platforms.

• Familiarity with LLM APIs, retrieval-augmented generation, evaluation techniques, and workflow automation.

• Proven experience in creating dashboards and converting data into actionable insights for senior leaders.

• Experience in managing confidential or regulated data.

• Capability to clearly communicate technical concepts to attorneys and executives.

• Required degrees must be from accredited higher education institutions.

• Preferred: experience in consumer finance, auto finance, banking, or other regulated sectors.

• Preferred: experience supporting legal, compliance, risk, or audit teams.

• Preferred: knowledge of model risk management and AI governance frameworks, such as the NIST AI Risk Management Framework.

• Preferred: experience with contract lifecycle management, matter management, speech analytics, or GRC platforms.

• Preferred: graduate degree in a quantitative discipline.

🏝️ Benefits

• 401(K) matching.

• Adoption assistance.

• Parental leave.

• Tuition reimbursement.

• Comprehensive medical, dental, and vision coverage.

• A variety of unique benefits that contribute to making us a Great Place to Work.