Top Tech Jobs & Startup Jobs in Charlotte, NC

Finance intern supporting internal controls over financial reporting, control testing, process documentation, remediation tracking, user access reviews, financial certifications, and ESG data collection and reporting. The role collaborates with finance, operations, and IT stakeholders and assists with governance and process improvement initiatives.

Support railcar engineering projects through CAD modeling, engineering drawings, finite element analysis, prototype development, testing, data analytics, and responsible AI use. The intern will analyze datasets using Excel, Power BI, and related tools; apply machine learning to identify trends and anomalies; document findings; provide project updates; and present recommendations. This role is intended for full-time Mechanical Engineering students seeking practical experience with engineering design, validation, and analytical workflows.

Supports operational finance through forecasting, reporting, variance analysis, journal entries, Power BI dashboard development, process improvement, and automation initiatives. The intern analyzes field maintenance operations, identifies efficiency and spending opportunities, documents workflows, and presents findings to leadership. The role provides exposure to FP&A, Oracle financial systems, advanced Excel modeling, AI-enabled automation, and cross-functional collaboration with field and maintenance teams.

Coordinates indirect procurement activities across multiple categories, including RFQs, bid evaluations, purchase orders, supplier onboarding, contract and SLA reviews, spend analysis, and compliance documentation. The role identifies cost-saving opportunities, resolves purchasing and supplier issues, prepares procurement reports and dashboards, and partners with internal stakeholders and vendors to support timely, cost-effective sourcing. It also contributes to continuous improvement and supplier relationship management.

Leads enterprise SaaS application support, including ticket backlog management, incident escalation, problem management, SLA tracking, root-cause analysis, and stakeholder communications. Provides hands-on support for Oracle Fusion, integrations, reporting, security, and quarterly releases. Coordinates vendors and managed service providers, leads regression testing and operational improvements, mentors support teams, and advances AI-powered automation and agent adoption across enterprise workflows.

The AI & Data Analytics Architect designs and implements enterprise AI and data analytics solutions, primarily in the cloud using Azure, while ensuring governance and security compliance.

Translates business objectives, processes, data, and user needs into detailed solution specifications, business rules, scenarios, acceptance criteria, and testable requirements. Partners with business and technology teams throughout delivery, validates implementations, manages traceability, supports testing and release readiness, and identifies process-improvement, automation, data-quality, and responsible AI opportunities. The role also defines data requirements, investigates discrepancies, facilitates decisions, and supports adoption and benefits measurement.