Senior Manager of Analytics Platform

Responsibilities

• 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
• 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

• Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
• Focus on Family:
  We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
• Get Invested:
  In addition to a competitive base salary and 401k, you’re eligible to receive stock options to share in the future of WHOOP.
• WHOOP +1:
  Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
• Health Matters:
  Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
• Find Your Fit:
  Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
• It Pays to Sleep:
  Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
• Location, Location,
  
  Location:
  
  You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.

• 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
• Track record of owning and delivering large-scale data initiatives with measurable business outcomes
• 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
• Excellent communication and stakeholder management skills, particularly in interfacing with senior leadership
• Experience building and leading high‑performing data teams, including hiring, mentoring, and setting technical direction
• 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
• Background in data governance, data contracts, or metrics layer standardization
• Experience in subscription/DTC commerce, health/wellness, or consumer hardware

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.