Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads data validation risk initiatives, strategic analytics direction, business development, and complex data quality programs across client engagements. Oversees data collection, preprocessing, modeling, statistical analysis, validation routines, and control-gap assessments. Translates findings into executive recommendations, manages senior client relationships, mentors analytical teams, and advances data governance and AI-enabled analytics while ensuring professional and independence standards.

Leads SAP BASIS consulting projects, analyzes client needs, implements SAP solutions, manages project budgets and execution, supports SAP users, and mentors consulting teams. The role oversees client relationships, data integrity, compliance, process optimization, enterprise integration, training, and adoption of innovative SAP technologies to improve operational efficiency and business performance.

Designs, configures, tests, and implements Guidewire applications supporting insurance policy administration, claims, and billing. Translates client requirements into configurations, integrations, rules, and custom logic; troubleshoots defects; collaborates with stakeholders; manages workstreams; and guides junior team members. The role requires client-facing technical problem-solving and adaptability across insurance technology consulting engagements.

Leads Guidewire configuration workstreams for client implementations across PolicyCenter, BillingCenter, and ClaimCenter. Manages project plans, budgets, timelines, teams, solution design, integrations, testing, defect resolution, and deployment readiness. Translates business requirements into platform solutions, reviews technical deliverables, resolves configuration issues, improves delivery methods, and coaches junior professionals while supporting client relationships.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Oversee transformative technology initiatives and product delivery from strategy through execution. Lead multidisciplinary teams, translate business needs into priorities and success metrics, manage project progress, align stakeholders, drive AI-enabled innovation, and improve client experiences. Mentor junior staff, support portfolio planning, promote responsible AI adoption, and contribute to the organization’s strategic vision.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Leads provider clinical operations consulting workstreams for healthcare clients, including workflow redesign, operating model assessment, process improvement, performance analysis, change management, and technology-enabled modernization. Manages project plans, resources, client relationships, and stakeholder discussions while coaching teams and developing operational recommendations. Applies analytics, AI fluency, and digital tools to improve clinical service delivery and engagement outcomes.

Build and manage automated workflows that improve business and technology productivity within a DevSecOps infrastructure team. Responsibilities include addressing complex technical problems, mentoring team members, maintaining high-quality project standards, supporting CI/CD and cloud infrastructure, automating deployment tasks, and developing client relationships. The role requires three years of technology experience and familiarity with cloud, containers, Linux, DevOps toolchains, monitoring platforms, and test automation.