Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads presales solution architecture for complex Life and Annuity insurance and TPA RFI/RFP pursuits. Designs operating models, platform implementations, conversions, integrations, data migration, compliance frameworks, and managed-service solutions. Owns estimation governance, pricing strategy, executive presentations, client discovery, oral presentations, and delivery handoff. Requires deep L&A and TPA operational expertise, major policy administration platform experience, strong estimation and executive communication skills, and knowledge of insurance regulations and privacy requirements.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.

Lead and mentor an account management team, develop and execute client retention and growth strategies, build strong client relationships, identify new business, collaborate cross-functionally to deliver insurance solutions, ensure SLAs and compliance, monitor market trends, and drive performance through reviews and coaching.

Leads strategic management and growth of major and global accounts across digital, data, and AI domains. Develops sales plans, identifies expansion opportunities, builds executive relationships, advocates for clients, provides market insight, and mentors junior account managers while driving account performance, revenue growth, and client satisfaction.

Leads innovation and enterprise solution strategy for healthcare payment integrity, developing scalable platforms using AI, automation, analytics, and data technologies. Engages senior clients, supports strategic pursuits, shapes transformation roadmaps, and builds partnerships. Oversees solution architecture, enterprise system development, prototyping, governance, performance metrics, and commercialization. The role also mentors cross-functional teams and translates complex healthcare payer challenges into differentiated, market-ready solutions.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.

Lead Data & AI sales for insurance verticals, owning revenue targets and pipeline, building C-level relationships, driving new logo acquisition and account expansion, and positioning AI/data platform solutions across underwriting, claims, actuarial, and operations.

Develop, deploy, test, and support secure enterprise web applications and healthcare reporting solutions. Responsibilities include full-stack design and development, production issue resolution, SQL and report performance tuning, SSRS and SSIS integration, architecture, testing, deployment, data governance, security, and collaboration with business and technical teams. The role also contributes to scalable solution design, project delivery, mentoring, and understanding payer and provider healthcare analytics.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.