VP, Data & Analytics

About the role

LifeMD is seeking a visionary and execution-focused Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the Chief Technology Officer, this executive will build the next-generation data and AI platform that powers every aspect of LifeMD—from patient experiences and clinical operations to internal productivity, intelligent automation, and business decision-making.

This is a hands-on Data engineering leadership role for someone who has successfully taken data and AI initiatives from proof of concept to enterprise production. The ideal candidate is equally comfortable discussing distributed data architectures, Retrieval-Augmented Generation (RAG), AI agents, LLM orchestration, analytics strategy, data engineering vision, and executive business priorities.

Requirements

• 12+ years of experience leading enterprise data, analytics, AI, or machine learning organizations
• 5+ years leading large engineering organizations responsible for enterprise data platforms and AI systems
• Proven experience deploying Generative AI solutions from proof of concept through enterprise production
• Deep expertise building Retrieval-Augmented Generation (RAG) architectures using vector databases, embeddings, enterprise knowledge repositories, and LLM orchestration frameworks
• Experience designing and deploying AI agents, workflow automation platforms, and intelligent assistants
• Strong understanding of MCP (Model Context Protocol), agent orchestration, prompt engineering, and modern AI application architectures
• Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Databricks, or equivalent
• Strong programming experience in Python, SQL, APIs, distributed systems, and modern data engineering frameworks
• Experience with cloud-native architectures (AWS, Azure, or Google Cloud)
• Experience implementing LLMOps, MLOps, CI/CD, model evaluation, monitoring, observability, and governance frameworks
• Strong knowledge of healthcare data, HIPAA, PHI security, privacy, and regulatory compliance preferred
• Experience leading enterprise analytics, experimentation, KPI development, and executive reporting
• Exceptional communication, organizational, and executive leadership skills