Jobs at Credit Acceptance Corporation

Lead vision, architecture, and delivery of an enterprise AI engineering platform. Align platform capabilities with engineering, security, and cost controls; enable self‑service AI tooling, governance, and production‑grade CI/CD for AI workflows; build and mentor a high‑performing platform team; and drive responsible, scalable adoption of AI across the company.

Provide high-impact, confidential support to C-level and VP executives: manage complex calendars, communications, travel, meetings/board sessions, and executive workflows; prepare briefings and presentations; lead cross-functional projects; investigate issues and recommend resolutions; improve executive office processes and mentor other administrative staff.

Lead enterprise data strategy, governance, and standards; translate business needs into scalable data solutions; drive cross-domain analytics, data quality, and operational excellence; mentor team members and enable business adoption of data deliverables aligned to measurable value.

Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.

Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.

Design, build, test, and ship production AI-enabled software and reusable platform components. Integrate AI services, APIs, retrieval patterns, and business logic. Collaborate with U.S. partners, write tests, participate in code reviews and on-call rotation, debug production issues, and mentor junior engineers.

The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.

Lead and develop Directors of Sales across assigned districts to drive sales, dealer relationships, and P&L performance. Translate regional strategy into market plans, enforce execution discipline, coach leaders, manage performance and expenses, and partner cross-functionally to improve market results and organizational health.

Lead and develop Directors of Sales across assigned Southeast districts to drive sales performance, P&L results, dealer relationships, and market strategies. Translate regional strategy into actionable market plans, use data to monitor performance, coach leaders, manage expenses, and partner cross-functionally to improve organizational health and execution.

Lead design, development, and production deployment of enterprise-scale ML and GenAI solutions (LLMs, RAG, recommendation systems). Architect scalable inference and training pipelines, mentor MLEs, collaborate with stakeholders, ensure security/compliance, and measure and optimize model performance and business impact.

Lead design, deployment, and monitoring of predictive models for credit risk, collections, and operations. Drive adoption of modern ML and MLOps, mentor data scientists, define strategic roadmap, advise senior leadership, and ensure model governance and regulatory compliance.

Lead and develop Directors of Sales to execute regional strategy at district and market levels, drive sales and P&L results, strengthen dealer relationships, enforce financial discipline, coach leaders, manage performance, and partner cross-functionally. Requires heavy travel and ownership of market execution and organizational health.

Lead FP&A strategy, budgeting, forecasting, financial modeling, management reporting, and analytics. Advise CFO and executives on capital allocation, M&A evaluation, and performance improvement while building a high-performing FP&A team and advancing finance technology and AI-enabled decision support.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Technical leader who designs, builds, and scales enterprise software across multiple applications. Drives architecture and coding standards, authors tests and documentation, debugs production issues, leads code reviews, mentors engineers, participates in Agile deliveries and on-call rotation, and collaborates with U.S. business partners.

Perform analysis of loan servicing strategies, monitor champion/challenger tests, develop complex data extraction and manipulation code, produce performance reports, and translate business goals into technical tasks to optimize high-volume decisions.

Design, build, test, and ship production AI-enabled software and reusable components for enterprise workflows. Implement context-aware agentic systems, integrate models and APIs, write unit tests, debug production issues, lead code reviews, mentor engineers, participate in on-call rotation, and collaborate with U.S. business partners while working remotely from India.

Senior individual contributor owning AI/ML products end-to-end: discover opportunities, define roadmaps, make build-vs-buy decisions, lead vendor evaluations and cross-functional delivery, monitor KPIs and operational signals, and drive continuous improvement and adoption.