Top Tech Jobs & Startup Jobs in Charlotte, NC

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, 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 across assigned districts to execute regional strategies, drive dealer relationships, meet sales and P&L targets, and build leadership capability. Use data and market insights to improve performance, manage expenses, enforce accountability, guide organizational design, and partner cross-functionally to implement change and tools. Frequent travel required to support field execution.

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.

Design, build, and deploy enterprise-scale AI systems (agents, retrieval/RAG, generative AI) and reusable platforms. Own end-to-end solutions from discovery through production, testing, observability, and mentoring, driving architecture, standards, and cross-team adoption.

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.

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.