Jobs at Credit Acceptance Corporation

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.

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.

Provides strategic, confidential support to C-level executives by managing complex calendars, communications, priorities, meetings, travel, briefing materials, and follow-up actions. Acts as a liaison with senior leaders and stakeholders, handles sensitive information, resolves issues, supports cross-functional initiatives, improves executive-office processes, and mentors administrative professionals. The role requires substantial autonomy, judgment, discretion, business acumen, and strong communication skills.

Leads marketing insights and planning, unifying consumer, competitive, market, and dealer data into actionable strategies. Oversees segmentation, KPI dashboards, long-range and annual planning, budgeting, business cases, CDP requirements, and AI-enabled automation. Serves as chief of staff and advisor to the CMO, presents to executives and the board, and builds and mentors a multi-layered insights and analytics team.

Leads consumer research and segmentation, selecting qualitative, quantitative, or secondary methods to generate efficient insights. Translates customer needs and behaviors into marketing strategy, CDP requirements, and growth and retention initiatives. Presents actionable recommendations to executive audiences, manages research vendors, panels, and budgets, applies AI to accelerate insight generation, and builds a high-performing consumer insights team.

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.

Leads commercialization and product marketing for pricing, profitability, and transaction-enablement products. Develops positioning, messaging, go-to-market strategies, launch plans, customer communications, and sales enablement. Conducts customer and competitive research, analyzes adoption and performance data, defines success metrics, and recommends optimization strategies. Partners with Product, Pricing, Sales, Analytics, and Customer Success teams to increase customer engagement, product adoption, and revenue growth.

Senior technical leader responsible for designing, building, and scaling cloud-native data platforms and pipelines. Partners with stakeholders, mentors engineers, enforces engineering best practices, ensures data modeling, governance, and quality, debugs production issues, and contributes to architecture, design, and Agile delivery to support business outcomes.

Lead enterprise data strategy, governance, and standards while translating business needs into scalable data solutions. Drive cross-domain analytics, ensure data quality/lineage, manage delivery and risk, and mentor junior analysts. Partner with Product, PMO, and Engineering to enable self-service analytics and align data initiatives to measurable business value.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.

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

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.

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, 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.