Posted 1w ago

VP, Data & Analytics

@ LifeMD
New York, New York, United States
HybridFull Time
Responsibilities:owning platform, leading team, partnering finance
Requirements Summary:Senior data leader building data platform on dbt and GCP; strong SQL/dbt; Python; AI tooling; revenue recognition collaboration; lead analytics engineering.
Technical Tools Mentioned:dbt, Python, BigQuery, GCP, Fivetran, Hex, Posit Connect
Save
Mark Applied
Hide Job
Report & Hide
Job Description

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.

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.