Senior Manager Analytics Platform

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. 

What We Do

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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