At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are looking for a Senior Manager, Analytics Platform to lead and scale our Analytics Platform team. In this role, you will own WHOOP's analytics tooling stack — building a strong foundation of reliable, well-modeled data that powers decisions across the organization. You will serve as the connective tissue between our Analytics and Data Platform Engineering teams, ensuring alignment on architecture, tooling, and data availability. As a leader, you will hire and develop a high-performing team while staying close to the technical work and driving adoption of modern data practices including semantic modeling and AI-ready data infrastructure.
RESPONSIBILITIES:
Own the WHOOP Analytics data model end-to-end, partnering with analysts and business stakeholders to ensure data is modeled to answer key business questions and serve as a single source of truth.
Hire, manage, coach, and develop a team of Analytics Engineers, driving high performance, career growth, and a culture of technical excellence.
Serve as the primary conduit between Analytics and Data Platform Engineering, aligning on shared infrastructure, data contracts, and pipeline architecture.
Own and evolve WHOOP's semantic layer, ensuring consistency and accuracy of key metrics across all downstream tools and consumers.
Define and enforce coding standards, documentation practices, and development processes (CI/CD, code reviews, testing requirements, data quality monitoring). ● Lead strategic data initiatives spanning multiple teams and business outcomes, from scoping through execution.
Maintain strong knowledge of industry trends and tooling developments; evaluate and introduce technologies that improve team leverage — including AI-assisted development and data tooling.
Partner with Analytics leadership and cross-functional teams to build and evolve the data strategy at WHOOP.
Interface with senior leadership to design, plan, and communicate data strategy and roadmap.
QUALIFICATIONS:
7+ years of experience in analytics engineering, data engineering, or a related field, with at least 2 years of people management experience.
Deep expertise in SQL, dbt, and Snowflake; strong understanding of dimensional modeling and data warehouse design patterns.
Experience building and leading high-performing data teams, including hiring, mentoring, and setting technical direction.
Hands-on proficiency with modern data stack tooling (dbt, Snowflake, Sigma or similar BI tools, Git, Python).
Demonstrated ability to bridge technical and business stakeholders — translating business requirements into data architecture decisions and communicating trade-offs clearly.
Track record of owning and delivering large-scale data initiatives with measurable business outcomes.
Excellent communication and stakeholder management skills, particularly in interfacing with senior leadership.
NICE TO HAVE
Experience implementing or managing a semantic layer (e.g., Snowflake Semantic Views, dbt Semantic Layer, etc.).
Familiarity with AI/ML data readiness, including building data foundations that support analytics automation and LLM-powered tooling.
Experience in subscription/DTC commerce, health/wellness, or consumer hardware.
Background in data governance, data contracts, or metrics layer standardization.
