LinkedIn

LinkedIn

Sr. Data Governance Analyst

Sunnyvale, CA, United States · Senior · Contract

Sponsorship not specified$95k-$158kDetected 119 days ago
Data StructuresSQLData EngineeringData ScienceData VisualizationAccessibilityAgileStakeholder ManagementCommunicationProblem Solving

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$125,4861 entry
Level II$168,9172 entries
Level III$212,3263 entries
Level IV$255,7574 entries

The bottom of this range ($95,000) is below the Level I prevailing wage of $125,486. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 21 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 88%

Of 120 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 493 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

233 transfer filings in the last year, covering 1907 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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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
  • Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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.
  • Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Compensation

  • As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Company info

  • This role will be part of the People Analytics organization within the Global Talent Organization (GTO) at LinkedIn.
  • Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.

Equal opportunity

  • 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.
  • If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
  • Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.

Visa & Work Authorization

  • in, 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 listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.