Staff Analyst - Data Governance

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.  San Francisco (Hybrid) Reporting to the Director of Data Analytics team to enable Global Analytics across Oura. About the Role We are seeking an experienced Data Governance Analyst for the Data Analytics team.  In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. Through  cross-functional collaboration you will be working closely with the other peers and leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. You will have the opportunity to design and build Oura’s federated governance model for the data mesh in a collaborative, decentralized approach, with centralized policy-setting and platform enablement to ensure domain autonomy while maintaining enterprise-wide standards for security, access, and data quality. What You Will Do Federated Data Governance Ensure privacy, compliance, and security across a federated data mesh architecture Collaborate with Oura’s security guild comprising of Legal, IT, Security, and Enterprise Data Architecture to define and manage a data governance framework for the full data lifecycle from acquisition to deletion Align data practices with SOC 2, HIPAA, and HITRUST standards Establish policies that balance domain-level autonomy with enterprise-wide consistency Data Quality & Integrity Uphold high standards of data quality, accuracy, and trustworthiness for all data products Champion best practices for metadata management, lineage tracking, and validation Self-Serve Data & Enablement Work alongside platform and data product teams to enable self-service analytics in a governed way Help establish secure access patterns, role-based permissions, and audit-readiness practices Enable Domain Missions and Squads to execute on governance framework Foster a data-driven culture, enabling data-centric decision-making across all levels of the organization  Strategy & Framework Development: Define the strategic vision and develop the enterprise-wide data governance roadmap, outlining key priorities and goals  Roll out a comprehensive data governance framework, including policies, standards, processes, and metrics  Drive innovation by leveraging emerging data technologies and fostering these capabilities within the team to drive data obfuscation, anonymization Framework for data deletion, data retention, data sharing Policy & Standard Management: Create and implement data governance policies, standards, and procedures for data quality, security, and usage  Ensure these policies are documented, maintained, and aligned with business needs and regulatory requirements  Data Owners, Stewardship & Oversight: Establish clear roles and responsibilities for data stewardship, ensuring clear accountability for the company's information assets across each domain  Oversee data stewards, data owners, and other data-related teams to ensure policies are followed  Data Quality & Security: Develop and implement initiatives to improve data quality and establish metrics for monitoring and assessment  Oversee the development and enforcement of data security and privacy policies, including access controls and compliance with regulations  Stakeholder Management & Collaboration: Develop and lead the Data Mesh Steering Committee of a central body including executive sponsors, data governance leads, domain experts, and platform/security architects. This committee sets the vision, business drivers, and success criteria for the federated governance model Serve as a liaison between business and technology teams to ensure data-related business requirements are understood and addressed  Foster cross-functional collaboration and raise awareness of data governance principles and best practices across the organization  Translate complex data into clear, actionable insights for stakeholders at all levels  Establish and develop roles and responsibility matrix to clarify domain ownership and influence stakeholders alignment AI Governance use cases in collaboration with the AI Productivity and liaison as part of the AI Governance Committee Reporting & Issue Resolution: Establish mechanisms for governance oversight, including regular reviews and compliance monitoring  Identify and prioritize data governance projects and resolve escalated data-related issues from various departments  Metadata & Data Lineage: Implement processes for capturing and maintaining metadata, including data lineage and definitions, to improve data discoverability and understanding  Domain Expertise: HIPAA, PHI, PCI, GDPR, CDPR, Regulations and Governance Policies A strong understanding of the business domains they are supporting is needed to build relevant data products within consumer health, medical devices, and or healthcare services  Experience working with Legal/Security team to align on policies and guidelines Communicatio