Easy Apply
Easy Apply
Lead and scale the Analytics Platform team owning WHOOP's analytics data model, semantic layer, and tooling. Hire and develop analytics engineers, align platform engineering and analytics on architecture and data contracts, enforce engineering standards (CI/CD, testing, data quality), drive cross-team data initiatives, and communicate data strategy to senior leadership.
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.
- 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.
NICE TO HAVE
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
Similar Jobs at WHOOP
Fitness • Hardware • Healthtech • Sports • Wearables
Build and own the Snowflake/dbt data infrastructure for WHOOP's financial planning model: standardize financial actuals, develop Snowflake-native functions and stored procedures, translate FP&A modeling into version-controlled SQL/dbt models, integrate source systems, implement data quality tests, support Sigma front-end, document lineage, and apply software engineering best practices while implementing AI-augmented forecasting and automation.
Top Skills:
Anomaly_DetectionCi/CdDbtForecastGitNetSuitePythonSigma ComputingSnowflakeSnowflake CortexSnowflake CoworkSnowparkSQLStored ProceduresStripeTop_InsightsUdfs
Fitness • Hardware • Healthtech • Sports • Wearables
Build and maintain scalable dbt models in Snowflake, implement data quality tests and documentation, collaborate with Analytics and Data Engineering on ingestion and warehouse optimization, support data governance and apply software engineering best practices to analytics code.
Top Skills:
DbtGitSnowflakeSQL
Fitness • Hardware • Healthtech • Sports • Wearables
Lead WHOOP's clinical science function to define and execute clinical evidence strategies for regulated and unregulated health features (especially SaMD). Oversee study design, validation, regulatory submissions (FDA, CE), protocols, statistical plans, and post-market evidence. Build and mentor a clinical science team and collaborate with Product, Data Science, Engineering, Regulatory, Quality, Legal, and Commercial stakeholders to align evidence with product and business goals.
Top Skills:
AdamCdiscPythonRSASSdtmSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
