Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead post-go-live optimization for Microsoft Dynamics 365 Supply Chain Management environments. Assess configuration and adoption across inventory, procurement, warehousing, planning, and related modules; identify business pain points; create enhancement roadmaps; guide system configuration changes; and apply AI and Copilot automation opportunities. The role also includes client and executive stakeholder engagement, relationship expansion, methodology development, mentoring, backlog management, and practice growth.

Lead and deliver cybersecurity and resilience assessments, advise clients on GRC and HIPAA compliance, support control implementation and remediation, mentor junior consultants, and produce clear deliverables to improve security posture and business continuity.

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead post-go-live optimization for Microsoft Dynamics 365 Finance clients. Assess production environments, identify configuration and adoption gaps, prioritize enhancement roadmaps, manage backlogs, and guide design, testing, and releases. Advise finance and operations leaders, improve data integrity and user experience, identify Copilot and agentic AI opportunities, review engagement quality, mentor consultants, and contribute to consulting methodologies and practice growth.

Lead and execute third-party information security assessments, validate controls, perform site visits, assess cloud deployments and compliance frameworks, document risks and remediation, deliver executive reporting, manage project teams and timelines, mentor staff, and support client relationships and business development.

Lead assessment and secure adoption of AI/ML and GenAI systems for clients. Design security patterns and controls, perform assessments and pen tests, prototype AI-enabled security capabilities, ensure compliance (PII, privacy, regulatory), document protocols, and collaborate with cross-functional teams to productionize scalable AI-security solutions.

Summer data science internship working on ML projects (anomaly detection, numerical optimization, PII/PHI NLP). Interns will develop models, write high-quality Python, use Linux and development tools, work with git, Docker, CI/CD and Kubernetes, participate in code reviews and agile rituals, and present results to technical and non-technical audiences.

Develop and productionize AI features from PoC to scalable deployments. Write production-ready Python code, implement testing and debugging, refine user stories, participate in ethical and security reviews, and collaborate with stakeholders to align AI solutions with business needs.

Lead and support privacy program design, gap assessments, and privacy technology implementations (DSAR automation, data inventories, consent management). Map data flows, translate regulations into controls, advise clients on GDPR/CCPA/LGPD and frameworks, mentor junior staff, prepare deliverables, and drive client engagement and program operationalization.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.