Top Tech Jobs & Startup Jobs in Charlotte, NC

The Incident Response Lead coordinates incident response efforts, manages stakeholder engagement, drives resilience initiatives, and leads post-incident reviews to improve business continuity and disaster recovery processes.

The Senior Data Analyst will lead data-driven decision-making by delivering insights through analytics, dashboards, and visualizations for the Wealth Management team. They will work with senior leaders and enhance business intelligence capabilities while ensuring data quality and scalability.

Lead the strategy and operations for a global Windows Endpoint ecosystem, managing engineering teams and ensuring operational excellence across large-scale endpoint delivery.

Lead the analytics and reporting capabilities for risk and control, manage a high-performing data analytics team, develop strategies, and deliver insights to enhance client satisfaction and decision-making.

Lead a marketing analytics team to measure and optimize marketing impact via attribution, incrementality, MMM/MTA, experimentation, and advanced modeling. Partner with Data Science, Marketing, Finance, and Tech to operationalize models, inform investment strategy, and build scalable analytics capabilities and reporting.

The role involves executing marketing attribution products, collaborating with teams, translating business questions into analytical solutions, and influencing stakeholders for effective strategy.

Lead the ethics and compliance program globally for Vanguard, developing policies, overseeing compliance with ethical standards, and managing a team. Responsible for advising on complex issues and monitoring conduct standards.

Lead complex analytics projects: gather and validate structured and unstructured data, perform advanced historical analyses, produce expert visualizations and presentations, develop recurring reports, mentor and coach analysts, and act as analytics subject-matter expert on cross-functional strategic initiatives.

The Lead AI/ML Engineer will architect and deploy RAG pipelines, design Graph RAG solutions, and build scalable ML services, optimizing retrieval quality and implementing observability practices. Collaboration with cross-functional teams and producing clear documentation are key responsibilities.

Develop and optimize data pipelines, integrate model pipelines, collaborate with data science teams, and maintain model monitoring scripts. Stay updated on AI/ML advancements.