
Data Governance Manager
Headspace
full-time
Posted on:
Location Type: Hybrid
Location: United States
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Salary
💰 $140,400 - $224,250 per year
About the role
- Build and lead a scalable data governance program and operating model ensuring data is accurate, consistent, and secure across the enterprise
- Define governance operating rhythms and decision frameworks (forums, ownership, escalation paths) that scale with the business
- Drive adoption of governance practices through enablement, communication, and clear expectations—treating governance as a product
- Define and implement data governance policies aligned with privacy, security, compliance, and ethical AI standards
- Partner with Security, Legal, and Engineering to embed governance into tooling and workflows, enabling safe innovation in AI and analytics
- Lead the strategy and implementation of a semantic/context layer (business glossary, metrics, data contracts, lineage) to standardize how data is understood
- Ensure consistent data definitions and integration into core tools (BI, catalogs, transformation workflows) to reduce metric drift and improve usability
- Improve data quality and trust at scale, including defining KPIs and driving remediation with data owners and engineering teams
- Establish golden data sources, standards, and stewardship models to ensure accountability and cross-functional ownership
- Develop a governance framework that supports privacy, security, compliance, and business continuity, including audit readiness, risk management, and access controls
Requirements
- 5+ years in data governance, data management, analytics engineering, data program management, or adjacent roles with strong cross-functional influence.
- Demonstrated ability to build governance programs that people actually use—balancing enablement with control.
- Strong understanding of privacy/security principles as they apply to data (access controls, classification, retention, least privilege, auditability).
- Experience defining and operationalizing data quality programs and working with engineering/data teams on remediation.
- Proven success partnering with leaders across Product, Engineering, Analytics, Security, Legal/Privacy, and Operations.
- Excellent communication skills—able to translate between technical teams and business stakeholders.
- Healthcare / regulated data experience (e.g., HIPAA/PHI environments, sensitive member/patient data, clinical or outcomes-oriented analytics) (preferred).
- Experience enabling ethical and responsible AI practices (e.g., governance for training data, model inputs/outputs, risk reviews, bias considerations, human-in-the-loop controls) (preferred).
- Hands-on experience implementing or operating a semantic layer / metrics layer / business glossary and building shared definitions across BI and data products (preferred).
- Familiarity with modern data governance and analytics tooling (examples: data catalogs, lineage/metadata, metric layers, data quality monitoring, and transformation frameworks—tool-agnostic experience is fine) (preferred).
Benefits
- comprehensive healthcare coverage
- monthly wellness stipend
- retirement savings match
- lifetime Headspace membership
- generous parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data governancedata managementanalytics engineeringdata program managementdata quality programssemantic layermetrics layerbusiness glossarydata integrationKPI definition
Soft Skills
cross-functional influenceenablementcommunicationstakeholder translationaccountabilityleadershipstrategic thinkingproblem-solvingcollaborationadaptability