Sr. People Analytics Analyst

Partner with functional teams, HR Technology, Engineering, Legal, Privacy, and Security teams to define and operationalize enterprise data governance policies, standards, and stewardship models

Help establish scalable governance frameworks that improve trust, consistency, accessibility, compliance, and usability of workforce data across reporting, analytics, automation, and AI-driven use cases

Drive governance initiatives focused on foundational AI readiness, including trusted data structures, standardized definitions, metadata enrichment, lineage visibility, and scalable semantic models

Evaluate and improve upstream business processes and data capture mechanisms to ensure enterprise systems produce high-quality, reliable, and AI-consumable data

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

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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This role will be based in  Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C

People Analytics enables better, faster, and more strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms.

We are seeking a highly collaborative and technically strong Data Governance professional to help build and operationalize the next generation of People Data Governance capabilities.

This role will partner closely with People Analytics, Engineering, HR Technology, Data Science, Security, Privacy, and business stakeholders to establish trusted, scalable, and AI-ready workforce data foundations.

This position goes beyond traditional governance execution and will help shape how enterprise people data is structured, governed, standardized, and operationalized to support modern analytics, automation, and emerging AI use cases.

The ideal candidate will combine strong governance expertise with hands-on technical acumen and an understanding of how upstream business processes influence downstream analytics and AI outcomes.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.