Jobs at Credit Acceptance Corporation

Supports ongoing sales education, readiness, reinforcement, and field execution after onboarding. Translates business priorities, product updates, process changes, sales plays, and new tools into practical guidance, job aids, coaching resources, and discussion materials. Partners with Sales, Product, Marketing, Analytics, Training, and leadership teams to support launches and change initiatives, gather field feedback, improve learning resources, and drive sustained adoption across regional sales teams.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

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.

Leads Sales education, enablement content, communications, coaching resources, and readiness programs. Translates business priorities, process changes, and go-to-market initiatives into practical learning and field-ready tools. Manages a team, establishes operating standards, partners with Sales and cross-functional stakeholders, supports launches and organizational changes, and measures program effectiveness through feedback and business results.

Leads competitive and market intelligence efforts supporting Sales strategy, growth initiatives, positioning, and executive decision-making. Oversees competitor research, market trend analysis, intelligence governance, dashboards, battlecards, and actionable recommendations. Partners with Sales, Product, Marketing, Analytics, and other stakeholders while managing and developing competitive intelligence team members.

Researches market, dealer, customer, competitor, and industry information to identify trends, risks, and opportunities. Develops competitive intelligence, market assessments, SWOT analyses, reports, dashboards, presentations, and actionable recommendations. Maintains intelligence repositories and partners with Sales, Marketing, Product, Analytics, and Strategy stakeholders. This remote role supports regional sales teams, requires core hours aligned to the assigned region, and may involve travel up to 25%.

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.

Leads the customer loyalty and retention function, owning lifecycle strategy, retention, gross dollar retention, and customer satisfaction outcomes. Builds loyalty programs, maps customer journeys, uses qualitative and quantitative insights to prioritize initiatives, manages budgets and external partners, and presents recommendations to executives. The role also builds and develops a high-performing team, partners cross-functionally, and drives large-scale program launches and continuous improvement.

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.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

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.

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.

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.