Lead engineering strategy and architecture for SqlDBM v2, including security, scalability, AI enablement, DevOps, CI/CD, testing, observability, and deployment workflows. Hire, coach, and unblock full-stack engineering teams while maintaining React code quality and hands-on .NET development. Establish AI tooling standards, guardrails, productivity metrics, and reliable production delivery practices.

Build and extend backend systems powering enterprise AI capabilities for data modeling, schema generation, documentation, governance, model orchestration, usage metering, and MCP integrations. Develop .NET microservices on AWS, integrate LLM providers, manage context and validation, and create reliable REST APIs for enterprise data workflows.

Own and expand strategic enterprise accounts while acquiring new Fortune 500 and Global 2000 customers. Lead complex, multi-threaded SaaS sales cycles involving executives, technical evaluators, procurement, legal, and security teams. Build account plans, develop ROI cases, manage forecasting and pipeline rigor, use MEDDPICC or similar methodologies, partner with Customer Success and cross-functional teams, and sell data modeling, governance, migration, analytics engineering, and AI-readiness solutions.