Jobs at Credit Acceptance Corporation

Lead complex financial analysis, accounting research, journal entry reviews, reconciliations, variance reporting, internal financial reporting, and control assessments. Provide strategic financial insights to leadership, improve reporting processes, strengthen controls, automate workflows, and manage cross-functional Finance initiatives. Serve as a functional lead by reviewing deliverables, prioritizing workloads, mentoring analysts, and advising business partners on accounting and financial decisions.

Leads the consumer digital experience across website, mobile app, portal, payments, and marketplace surfaces. Owns the multi-year vision, prioritized roadmap, conversion optimization, experimentation, self-service, payment operations, shared digital foundations, and measurable business outcomes. Partners across marketing, engineering, servicing, analytics, and compliance while building and developing product, design, and digital teams.

Leads the consumer acquisition strategy across owned, organic, paid, and emerging channels. Owns growth targets, marketing investment, acquisition contracts, customer acquisition costs, and conversion performance. Directs experimentation, channel optimization, marketplace expansion, seasonal promotions, and innovation initiatives. Partners with digital, creative, dealer marketing, analytics, legal, and compliance teams while building and developing a high-performing acquisition organization.

Lead development and deployment of predictive and ML models for credit risk, collections, and operations. Mentor data scientists, promote MLOps and modern tools, present insights to stakeholders, and drive experimentation with techniques such as causal inference and GenAI.

Leads the Platform Services organization, managing teams that build internal developer tooling, shared engineering services, golden-path templates, development environments, and AI-assisted development capabilities. Owns platform strategy, service reliability, security, adoption, productivity measurement, and consolidation of duplicated services. Partners with infrastructure and delivery teams, manages budgets and roadmaps, recruits and develops engineering leaders, and drives organizational change and engineering excellence.

Provides customer-facing support to dealers, consumers, agencies, and internal teams by resolving vehicle title and lien issues. Reviews and completes title requests, identifies missing or incorrect documents, maintains accurate records, escalates legal or risk concerns, and ensures compliance with policies and service standards. The role primarily involves telephone and email communication, problem-solving, and collaboration. It is fully remote with occasional planned office travel and requires Microsoft Office proficiency, high-speed internet, and flexible weekday availability.

Provides bilingual customer-facing support for vehicle title and lien issues. Reviews and resolves title requests, identifies missing or incorrect documents, enforces liens, and communicates with dealers, customers, auctions, DMVs, and other agencies. Maintains accurate records, identifies legal or compliance risks, escalates issues, and provides title expertise to internal teams. The role is remote with virtual training, scheduled phone support, and occasional office travel.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads investor relations strategy, investment-thesis development, earnings communications, investor presentations, and debt capital markets support. Partners with finance, legal, marketing, operations, and executives to ensure accurate external disclosures. Provides market intelligence, investor feedback, valuation insights, and strategic recommendations to leadership while managing relationships with investors, analysts, lenders, and rating agencies. The role also improves reporting and stakeholder engagement through technology, automation, and analytics.

Handles inbound and outbound calls with customers delinquent on auto loans. Develops payment solutions to bring accounts current, stop vehicle repossessions, and support customer service needs. Updates contact information, establishes payment promises, follows legal and company guidelines, and provides respectful, solution-focused assistance. The role is remote and includes mandatory paid virtual training.

Leads operating expense budgeting, financial planning, variance analysis, spending governance, and executive financial reporting. Partners with senior leaders to evaluate investments, improve resource allocation, and support profitability goals. Manages budget processes and tools while coaching direct reports and providing strategic financial guidance across the business.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

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.

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 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.

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.

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.