Top Tech Jobs & Startup Jobs in Charlotte, NC

Administers enterprise SAP environments, leading installations, upgrades, patching, migrations, transport management, performance tuning, capacity planning, client refreshes, and landscape configuration. Supports SAP ECC, HANA, BW, Solution Manager, and related platforms, integrating cloud solutions such as Ariba and Concur. Collaborates with cybersecurity, system administration, vendors, and global teams while managing audits, technical issue resolution, and on-call support. The role requires strong SAP Basis, Unix/Linux, Oracle/HANA administration, architecture, and regulated-enterprise experience.

Leads SAP Basis administration, including system installations, upgrades, patching, migrations, transport management, client administration, performance tuning, capacity planning, and landscape configuration. Supports SAP ECC, HANA, BW, Solution Manager, and related enterprise platforms, integrates cloud solutions, coordinates cybersecurity and compliance practices, and participates in on-call support. The role also leads technical teams, resolves complex issues, and manages controlled changes across development, quality, and production environments.

Leads enterprise change management for data, analytics, and AI initiatives. Develops adoption strategies, impact assessments, communications, training, sponsorship, coaching, and resistance-management plans. Partners with technical teams, executives, and business stakeholders to implement data platforms, governance frameworks, AI applications, automation, and process changes. Measures adoption and business value while building organizational change capability and supporting leadership through large-scale digital transformation.

Leads data and analytics strategy, delivery teams, and multidisciplinary data engineering functions across architecture, analytics, and governance. Develops people, drives business use cases, improves data ecosystem reliability, and partners with technology owners and business stakeholders. Requires strong modern data architecture knowledge, experience leading data and AI teams, and executive communication skills. Preferred experience includes machine learning, scalable cloud-native solutions, infrastructure as code, Agile practices, cybersecurity, and aerospace compliance.

Manage Digital Technology project portfolios, ensuring delivery across scope, schedules, financials, risks, technical reviews, issues, and stakeholder communications. Partner with financial, technical, and Digital leaders on resource assignments, integrated schedules, milestones, and risk mitigation. Lead complex infrastructure and software development initiatives, program reviews, executive communications, and multi-million-dollar projects.

Engineer scalable intelligent automation solutions using software engineering, APIs, integrations, RPA, workflow orchestration, AI, DevOps, and CI/CD practices. The role bridges prototypes to enterprise production, mentors colleagues and stakeholders, collaborates with distributed development teams, governs technical documentation, and improves automation standards, reuse, reliability, and maintainability.

Supports SAP S/4HANA Order-to-Cash transformation across blueprinting, configuration, testing, data migration, integration, cutover, and hypercare. Collaborates with business and technology teams on quoting, contracts, sales orders, pricing, billing, collections, returns, and receivables. Documents processes and functional requirements, supports customer-facing application integrations, validates data conversions, tracks defects, and analyzes process metrics. The hybrid role requires 25–50% travel and focuses on standardizing enterprise ERP processes.

Leads Production Master Data activities for the SAP S/4HANA transformation, managing material masters, bills of materials, routings, work centers, and related data. Coordinates stakeholders, requirements, system configuration, testing, documentation, data governance, and continuous improvement. Provides advanced SAP, Oracle, PL/SQL, and master data expertise while coordinating PMD project delivery and business-system enhancements.

Defines enterprise AI and machine learning architectures spanning Generative AI, agentic AI, data, applications, cloud, infrastructure, and enterprise systems. Translates business requirements into architecture blueprints, technical strategies, and implementation roadmaps; develops reusable standards and design patterns; evaluates technology alternatives; and leads technical reviews. The role also establishes patterns for MLOps, model serving, monitoring, governance, security, and deployment across cloud, hybrid, on-premises, and restricted environments while mentoring engineering teams.

Design, build, evaluate, and deploy production AI and ML solutions, including generative AI, large language models, retrieval-augmented generation, and agentic workflows. Develop reliable software, APIs, integrations, evaluations, and observability capabilities while partnering with architecture, platform, data, cybersecurity, and business teams. Apply AI engineering practices across enterprise, cloud, hybrid, and regulated environments.