Whoop
Director, Data Governance
Boston, MA · Director · Full-time
Sponsorship not specified$190k-$230kDetected 1 day ago
SnowflakeAirflowdbtData EngineeringData ScienceCybersecurityIncident ResponseComplianceAccessibilityTest AutomationHIPAAResearchLeadershipCommunicationPublic Speaking
Stay score
odds of building a lasting career here
55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role66
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$88,9201 entry
Level II$112,8612 entries
Level III$136,7813 entries
Level IV$160,7224 entries
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
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.
- 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.
- 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.
- Build a culture where trusted data is a shared responsibility across technical and business functions.
- Demonstrated ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives.
- Willing to be deeply hands-on while building repeatable processes and growing a team.
Requirements
- Deep hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools.
- 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).
- 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.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- 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.
- 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.
- Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products.
- 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.
- 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.
Compensation
- 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.
Benefits
- Develop governance metrics and reporting to track adoption, compliance, and data health across the organization.
Company info
- 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 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 listing is sourced directly from Whoop's careers page and normalized into a canonical job model.