Headspace - Data Governance Manager
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
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). • 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). • Hands-on experience implementing or operating a semantic layer / metrics layer / business glossary and building shared definitions across BI and data products. • 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). • Location: We are currently hiring this role remotely. Candidates must permanently reside in the US full-time. • For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model.
Responsibilities
• 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
Benefits
• The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. • $140,400-$224,250 • Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. • At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. • Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. • At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. • Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. • A mission that matters—with impact you can see and feel • A culture that’s collaborative, inclusive, and grounded in our values • The chance to shape what mental health care looks like next • Competitive pay and benefits that support your whole self • How we feel about Diversity, Equity, Inclusion and Belonging: • Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
Similar Jobs
No credit card. Takes 10 seconds.