Director, Data Governance

WHOOP; Boston (MA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

WHOOP is seeking a Director of Data Governance to define strategy and lead a new governance pillar within the DAA. You will set ownership models, data contracts, taxonomy, cataloging, access policy, and quality standards while partnering with Legal, GRC, and InfoSec.

You will build and mentor a small senior team, drive cross-functional adoption, and ensure governance scales across a mature data platform. Boston-based, relocation possible.

Qualifications

• 10+ years in data, engineering, or data governance roles with leadership experience
• Experience building data governance programs or frameworks in high-growth environments
• Hands-on with modern data stack tooling (Snowflake, dbt, Airflow) and data catalog/lineage
• Knowledge of healthcare data regulations (HIPAA) or readiness to develop quickly
• Experience implementing data quality frameworks with automated monitoring
• Experience with access control design in cloud data platforms (Snowflake RBAC, masking)
• Ability to drive cross-functional alignment on data standards and policies
• Experience operating in regulated environments
• Proven track record in data oversight for complex research, trials or FDA filings
• Excellent executive communication and leadership, translating governance concepts to business value
• Player-coach: hands-on while building repeatable processes and teams
• Strong commitment to AI-assisted governance to maintain quality and trust

Responsibilities

• Define and lead the data governance strategy, operating model, and roadmap (ownership, contracts, taxonomy, cataloging, access policy, quality, privacy)
• Lead and coach a senior team and partner with staff-level leaders
• Establish formal data ownership models with engineering and business stakeholders
• Define data contracts standards and liaise with Data Platform & Engineering for implementation
• Own event taxonomy governance across product and engineering teams
• Set data quality standards and incident response with platform assistance
• Champion AI-powered governance to surface issues and risks
• Partner with GRC, Legal, and InfoSec on privacy and compliance standards
• Define role-based access policy balancing security with self-service
• Embed governance in engineering workflows for ease of use
• Develop governance metrics to track adoption, compliance, and health
• Foster a culture of trusted data across technical and business functions

Skills

Data governance

Data quality

Team leadership

Cross-functional collaboration

Executive communication

Tools

Snowflake

dbt

Airflow

Data catalog/lineage tools

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.

WHOOP is a data company, and data is our most valuable asset. The Data, Analytics & AI (DAA) organization turns WHOOP data into trusted intelligence that sharpens every team's decisions. As the data and AI ecosystem grows, making that data trustworthy and safe by default has become a strategic capability, so every product built on it can be relied on.

We are seeking a Director, Data Governance to stand up and lead Data Governance as a new pillar within DAA, reporting to the VP of Data, Analytics and AI. As the first dedicated leader of this function, you will define the strategy, operating model, and roadmap for data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance. Governance sets the policy and standards; the Data Platform & Engineering pillar engineers and implements them, so this role leads through influence, clear standards, and strong cross-functional partnership.

WHOOP operates a mature data platform. This role builds the governance layer on top of it: formal ownership models, data contracts, an event taxonomy, cataloging and discovery, classification frameworks, and the policies that let the company scale into regulated environments without slowing down. You will build and lead a team and champion intelligent, AI powered approaches to continuously monitor the health and trust of our data.

You should be equally comfortable setting strategy and rolling up your sleeves, and as effective presenting a data classification framework to senior leadership as you are working through a data quality standard with an engineer. Working across Data Platform & Engineering, Analytics, Data Science, Product, GRC, Legal, InfoSec, and RAD, you will earn trust across technical and business teams, drive adoption, and ship enforceable governance outcomes.

RESPONSIBILITIES

• Define and lead the data governance strategy, operating model, and roadmap spanning data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance (HIPAA, GDPR, CCPA), aligned with the DAA strategy.

• Build, lead, and coach a small, senior team, developing your people while partnering closely with Staff level technical leaders across the org.

• Establish a formal data ownership model, partnering with engineering and business stakeholders to assign stewardship and accountability for critical datasets.

• Define the standards for data contracts between producing and consuming teams, covering schema stability, SLA adherence, and breaking-change management, with implementation owned by Data Platform & Engineering.

• Own the event taxonomy governance framework, bringing structure to event tracking and standardizing how product and engineering teams define, name, and instrument events across platforms.

• Set data quality standards (freshness, validation, monitoring) and the incident response expectations, partnering with Platform to operationalize automated testing and anomaly detection.

• Champion AI powered governance approaches that proactively surface quality issues, ownership gaps, policy violations, and compliance risks.

• Partner with GRC, Legal, and InfoSec to define the privacy, HIPAA, and compliance standards for how sensitive data is handled, which the platform then implements.

• Define role-based access policy across the data platform, balancing security with self-service accessibility, with enforcement engineered by Platform.

• Embed governance standards directly into engineering and developer workflows so the right way is the easy way, rather than relying on manual processes.

• Develop governance metrics and reporting to track adoption, compliance, and data health across the organization.

• Build a culture where trusted data is a shared responsibility across technical and business functions.

QUALIFICATIONS

• 10+ years in data, engineering, or data governance roles, with a strong background in data governance, data quality, data engineering, or data platform, and at least 4 years leading and building teams.

• Direct experience building data governance programs or frameworks, ideally in a high-growth environment where governance was not yet formalized.

• Deep hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools.

• Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products.

• Experience implementing data quality frameworks with automated monitoring and alerting.

• Experience with access control design and administration in cloud data platforms (Snowflake RBAC, row-level security, dynamic data masking).

• Demonstrated ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives. Comfortable influencing engineering, product, and business teams.

• Experience operating in regulated environments.

• Proven track record managing data oversight for complex research initiatives, such as IRB-regulated studies or trials or regulatory filings for the FDA.

• Excellent executive communication and organizational leadership. Able to translate technical governance concepts into business value for non-technical stakeholders and senior leadership.

• A player-coach orientation. Willing to be deeply hands-on while building repeatable processes and growing a team.

• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

*This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.*

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.

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 WHOOP 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, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.