Sr. Data Governance Analyst
Sunnyvale, CA, United States · Senior · Contract
Sponsorship not specified$95k-$158kDetected 32 days ago
Data StructuresSQLData EngineeringData ScienceData VisualizationAccessibilityAgileStakeholder ManagementCommunicationProblem Solving
About the role
- Join us to transform the way the world works.
- The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
- People Analytics enables better, faster, and more strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms.
Responsibilities
- Partner with functional teams, HR Technology, Engineering, Legal, Privacy, and Security teams to define and operationalize enterprise data governance policies, standards, and stewardship models
- Drive governance initiatives focused on foundational AI readiness, including trusted data structures, standardized definitions, metadata enrichment, lineage visibility, and scalable semantic models
- Partner with cross-functional stakeholders to define enterprise metric standards, business glossary definitions, ownership models, and stewardship accountability frameworks
- Support enterprise metadata management, cataloging, taxonomy management, lineage documentation, and semantic layer governance initiatives
- Collaborate with data scientists, analytics teams, and engineering organizations to translate business requirements into scalable governance-enabled data solutions
- Support the development of governance knowledge management capabilities including training, governance documentation, playbooks, operating procedures, and adoption frameworks
- Develop and analyze SQL-based queries and semantic models to validate data integrity, reconcile metrics, and support governance controls
- Partner with Engineering and platform teams to support implementation of modern cloud-based data ecosystems, governance tooling, and master data management solutions
- Support access governance and data security processes including documentation of enterprise access models, sensitive data handling standards, and governance controls
Requirements
- BA/BS degree in Computer Science, Information Systems, Analytics, Engineering, or related field
- 5+ years of experience in Data Governance, Data Management, Analytics Engineering, or related enterprise data disciplines
- 8+ years of overall experience in Data, Analytics, Business Intelligence, or Technology functions
Nice to have
- Experience implementing or supporting enterprise Data Governance programs, preferably within HR, People Analytics, or workforce-related domains
- Strong understanding of modern Data Governance principles including stewardship, ownership, metadata management, lineage, observability, and data quality management
- Experience supporting AI-ready data ecosystems through standardized data foundations, semantic modeling, metadata enrichment, and scalable governance practices
- Ability to think beyond downstream reporting and evaluate how upstream business processes, workflows, and operational behaviors influence data quality and AI effectiveness
- Strong proficiency in SQL/T-SQL and experience working with databases, semantic layers, and enterprise analytics environments
- Experience with cloud-based data platforms, ETL/data pipelines, and modern data architecture patterns
- Experience with data governance, metadata management, observability, catalog, or master data management tools (e.g., Profisee or similar platforms)
- Familiarity with Power BI, DAX, SSAS, reporting frameworks, and semantic modeling concepts
Skills
- Data governance
- Stakeholder management
- Metadata management
- Data quality management
- Change management
- LinkedIn is committed to fair and equitable compensation practices.
- This may be different in other locations due to differences in the cost of labor.
- For more information, visit https://careers.linkedin.com/benefits.
- Equal Opportunity Statement
- LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities.
- Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
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Compensation
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Equal opportunity
- We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.
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Visa & Work Authorization
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