Senior People Data Governance Analyst

Quick Facts

• Role: Senior People Data Governance Analyst (People Analytics / Global Talent)

• Work setup: Hybrid (home and office on select days)

Description

The role operationalizes LinkedIn’s People Data Governance program to ensure people data is trusted, well-defined, and consistently used. You will help build governance operating models, manage certification and data quality processes, maintain metadata and master/reference data standards, and support governance adoption across teams. You will also partner on responsible data access and help prepare governed people data for reporting, analytics, and AI use cases.

Responsibilities

• Support the governance operating model (ownership, stewardship responsibilities, decision rights, escalation paths)

• Document and operationalize governance processes with data owners/stewards and technical partners

• Coordinate data certification (requirements, review criteria, approvals, certification records)

• Establish standards for trusted data products, certified metrics, business definitions, and approved data sources

• Support data quality processes (rules, monitoring, issue remediation, quality improvement tracking)

• Assess business impact of data quality issues and define ownership and resolution plans

• Maintain business glossaries, data dictionaries, metadata documentation, lineage, and ownership records

• Support master/reference data management to improve consistency and usability

• Create repeatable governance workflows, templates, playbooks, standards, and documentation

• Facilitate governance reviews and stakeholder discussions

• Drive governance adoption (communications, training materials, office hours, onboarding, change management)

• Track priorities, decisions, risks, dependencies, and action items; provide updates to leaders/stakeholders

• Partner on responsible data access/usage/sharing/retention practices with Legal, Privacy, Security, and HR Technology

• Assess governance requirements for analytics, machine learning, and AI use cases involving people data

• Support governance automation, monitoring, and AI-enabled capabilities

• Simplify governance workflows and improve experience for data owners, stewards, producers, and consumers

Requirements

• Bachelor’s degree in Information Systems, Data Management, Business, Human Resources, Analytics, Computer Science, or related field (or equivalent practical experience)

• 3+ years of experience in data governance, data management, data stewardship, data quality, metadata management, analytics, or related discipline

• Experience supporting or implementing data governance operating models, standards, policies, processes, or controls

• Background documenting business definitions, data ownership, data lineage, data quality rules, or certification requirements

• Experience coordinating across business, analytics, and technical stakeholders

• Ability to create process documentation, standards, templates, playbooks, and/or training materials

• Experience facilitating working sessions and decision-making discussions with cross-functional partners

• Ability to organize and manage multiple priorities, dependencies, decisions, and follow-up items

Benefits

• Competitive compensation range: $101,000–$164,000 (location and experience dependent)

• Total compensation may include annual performance bonus, stock, benefits, and other incentives