Leads and develops multiple software engineering teams, providing mentorship, performance management, and career development. Establishes engineering best practices, coding standards, testing processes, and scalable software design principles. Partners with Product Managers to translate requirements into technical specifications, estimates, and roadmap initiatives. Drives technology modernization, technical-debt reduction, developer-experience improvements, productivity, and continuous learning while fostering an innovative and collaborative engineering culture.

Lead modernization of complex SQL Server stored procedures and design AI-native data infrastructure. Responsibilities include domain-driven data architecture, event-driven patterns, vector databases, embedding pipelines, semantic models, knowledge graphs, RAG evaluation, multi-platform data solutions, governance, and AI-assisted database tooling. The role partners across engineering and AI/ML teams, establishes reference architectures, mentors engineers, and contributes to enterprise data standards.