About us
LifeMD is a leading digital healthcare company committed to expanding access to virtual care, pharmacy services, and diagnostics by making them more affordable and convenient for all. Focused on both treatment and prevention, our unique care model is designed to optimize the patient experience and improve outcomes across more than 200 health concerns.
To support our expanding patient base, LifeMD leverages a vertically-integrated, proprietary digital care platform, a 50-state affiliated medical group, a 22,500-square-foot affiliated pharmacy, and a U.S.-based patient care center. Our company — with offices in New York City; Greenville, SC; and Huntington Beach, CA — is powered by a dynamic team of passionate professionals. From clinicians and technologists to creatives and analysts, we're united by a shared mission to revolutionize healthcare. Employees enjoy a collaborative and inclusive work environment, hybrid work culture, and numerous opportunities for growth. Want your work to matter? Join us in building a future of accessible, innovative, and compassionate care.
About the role
LifeMD is looking for a VP of Data & Analytics to own our data platform end to end and lead the analytics engineering team that powers decisions across finance, marketing, and operations. This is a senior technical leadership role for someone who is equally comfortable shaping a dbt architecture, partnering with our Chief Accounting Officer on revenue recognition, and presenting insights to the executive team.
You will sit at the intersection of engineering precision and business strategy. The data our team produces feeds earnings support, board materials, financial forecasts, and operational dashboards — accuracy and reliability are non-negotiable. At the same time, you will drive how we use AI to surface insights faster and build internal tooling that amplifies the team’s output.
What You Will Own
Data Platform
You will own the full analytics stack: Fivetran and custom Python ingestions, dbt for transformation, BigQuery as the warehouse, and Hex and Posit Connect for reporting and analytics applications. The stack runs on GCP. You are accountable for its reliability, cost, governance, and evolution.
Responsible for ensuring data quality, lineage, and standardization throughout the data ecosystem, while collaborating with Finance, IT, and Security teams on the overall governance and control framework.
Team Leadership
You will manage a small team of analytics engineers and analysts organized by business function across finance, marketing, and operations. The work is analytics-engineering-forward — producing data that many downstream stakeholders depend on. You will hire, develop, and shape the team as the function matures.
Revenue Recognition
LifeMD operates across subscription, insurance, and direct-pay billing systems. A senior analytics engineer manages the day-to-day process; you are accountable for its accuracy, auditability, and architecture. You will partner closely with the Chief Accounting Officer and represent the data function directly to external auditors.
Financial Modeling & FP&A Support
You will contribute directly to financial modeling — cohort-based subscription forecasting, LTV, and budget vs. actual analysis. You will ensure FP&A always has clean, timely, trusted data to build on, and serve as a technical partner to the finance function.
AI Analytics Platform
You will maintain our in-house AI analytics platform as a production service, develop new functionality using AI-driven tools, and actively find new ways to surface insights with AI as part of the analytical toolkit.
Engineering Partnership
You will work closely with our engineering teams to inform data architecture decisions that align with analytics and reporting objectives.
Executive Partnership
You will work directly with the executive team to produce the data that supports strategy — KPI dashboards, board materials, earnings support, and ad-hoc analysis — and to make recommendations based on it.
Requirements
SQL & dbt Architecture. You write and review SQL at a senior level and have built or materially evolved a data platform on dbt and a cloud warehouse. You make architectural decisions about modeling, incrementality, testing, and governance.
GCP Experience. You have worked on GCP in production, including BigQuery and surrounding services such as GCS, Cloud Run, and Cloud Scheduler.
Finance & Revenue Recognition. You have owned or partnered closely on revenue recognition at a public company, and have contributed to financial modeling such as cohort forecasting, LTV, and unit economics. You can architect auditable data models and represent the data function credibly to accounting, auditors, and finance leadership.
Python Fluency. You are comfortable in Python and can read and modify production code. You can maintain and extend data systems beyond the warehouse, including API integrations, scheduled jobs, and cloud infrastructure.
AI Fluency. You have built internal tooling that uses LLMs. You use Claude Code, Cursor, or another AI-driven IDE for development and actively shape how AI gets woven into your team’s workflows.
Data Engineering Leadership. You have managed small data or analytics engineering teams where the work sits closer to engineering than to BI, and where reliability matters because many stakeholders depend on the output. You hire, develop, and retain technical talent and coach individual contributors.
Benefits