Senior Manager, Analytics Engineering

WHOOP; Boston (MA); On-site; USD 210,000 - 245,000; Full time

Job summary

WHOOP in Boston is seeking a Senior Manager, Analytics Platform to lead and scale our analytics tooling stack. You will own the analytics data model end-to-end and bridge Analytics with Data Platform Engineering to ensure data supports key business decisions.

You will hire and develop a high‑performing team, drive adoption of modern data practices, and partner with senior leadership to shape the data strategy and roadmap.

Qualifications

• 7+ years in analytics engineering or data engineering with 2+ years of people management.
• Deep expertise in SQL, dbt and Snowflake; strong dimensional modeling knowledge.
• Experience building and leading high-performing data teams, including hiring and mentoring.
• Hands-on with modern data stack tooling: dbt, Snowflake, Sigma or similar BI tools, Git, Python.
• Ability to translate business requirements into data architecture decisions and communicate trade-offs.
• Track record delivering large-scale data initiatives with measurable business outcomes.
• Excellent communication and stakeholder management, especially with senior leadership.
• Nice to have semantic layer experience and AI/ML data readiness familiarity.

Responsibilities

• Own the 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 and career growth.
• Serve as the primary conduit between Analytics and Data Platform Engineering, aligning on infrastructure, data contracts, and pipeline architecture.
• Own and evolve WHOOP's semantic layer, ensuring consistency and accuracy of key metrics across all downstream tools.
• Define and enforce coding standards, documentation practices, and development processes (CI/CD, code reviews, testing, data quality).
• Lead strategic data initiatives spanning multiple teams and business outcomes, from scoping through execution.
• Stay current with industry trends and tooling developments; evaluate and adopt AI-assisted data tooling.

Skills

Analytics leadership

Stakeholder communication

Data modeling

Modern data stack

SQL/dbt/Snowflake

Team leadership

AI/ML readiness

Semantic layer experience

Tools

dbt

Snowflake

Sigma

Git

Python

Job description

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.

ADDITIONAL INFORMATION

• Interested in the role, but don’t meet every qualification? We encourage you to still apply. WHOOP values character as much as experience and supports a diverse and inclusive environment.
• WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
• The compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
• At WHOOP, total compensation includes base salary, equity, and benefits. Equity aligns employees with the long-term success of the company.
• The U.S. base salary range for this full-time position is $210,000 - $245,000. Salary ranges are determined by role, level, and location, with actual pay based on skills, experience, performance, and education or training.
• In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
• Ranges may be modified in the future to reflect evolving market conditions and organizational needs. Offers typically fall toward the starting point of the range, with total compensation reflecting the candidate’s qualifications and alignment with the role.