Home › Companies › Linkedin3 › Sr. Data Governance Analyst
Sr. Data Governance Analyst
Linkedin3 · Sunnyvale, CA, United States · Hybrid · Active · $95,000–$158,000 / hour · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Linkedin3 |
| Title | Sr. Data Governance Analyst |
| Normalized title | - |
| Department / team | GTO |
| Location | Sunnyvale, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $95,000–$158,000 / hour |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-06-19 / 2026-06-20 |
| Changed / last seen | 2026-06-20 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Linkedin3. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Sunnyvale. | Open |
| Department jobs | Active postings in GTO. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Linkedin3 |
| Source | 033cb003-8739-4446-9881-4055ceed69d9 |
| ATS provider | SmartRecruiters |
Description
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.
This role will be based in Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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.
This role will be part of the People Analytics organization within the Global Talent Organization (GTO) at LinkedIn. 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.
The successful candidate will help drive governance maturity across data ownership, stewardship, metadata management, observability, semantic modeling, and data quality management while enabling scalable and compliant consumption of workforce data across the enterprise.
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 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 Define and operationalize data quality management practices including observability, issue triage, remediation workflows, SLA management, and certification processes 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 Work with structured and unstructured datasets across enterprise HR systems, analytics platforms, and cloud-based ecosystems 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 Contribute to governance-related transformation programs supporting workforce planning, reporting modernization, analytics enablement, and AI-driven operational capabilities Operate effectively within Agile delivery frameworks including Scrum and Kanban models while managing multiple cross-functional priorities
Basic Qualifications
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 Preferred Qualifications
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 Experience defining enterprise metrics, business rules, governance workflows, and standardized reporting definitions Experience supporting enterprise data access governance, security frameworks, and compliance-related data controls Strong problem-solving, stakeholder management, communication, and executive presentation skills Ability to influence cross-functional teams and drive governance adoption across large, matrixed organizations Experience working in Agile delivery models including Scrum and Kanban frameworks Strong understanding of data requirements supporting analytics, workforce planning, business intelligence, automation, and AI enablement Suggested Skills:
Data governance Stakeholder management Metadata management Data quality management Change management
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $95,000-$158,000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits .
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.
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.
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.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
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.
Full job record
| Job ID | 3f3f0c84de215ea7a757fb567c430c7dc694da5e |
| Org ID | a80bcf9f-5469-4827-aa6d-03bb1292edcd |
| Source ID | 033cb003-8739-4446-9881-4055ceed69d9 |
| Board ID | 033cb003-8739-4446-9881-4055ceed69d9 |
| Provider | smartrecruiters |
| Provider Job Key | 744000133075939 |
| Title | Sr. Data Governance Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Sunnyvale, CA, United States |
| Department | GTO |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | Sunnyvale |
| Salary Raw | 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. This role will be based in Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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. This role will be part of the People Analytics organization within the Global Talent Organization (GTO) at LinkedIn. 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. The successful candidate will help drive governance maturity across data ownership, stewardship, metadata management, observability, semantic modeling, and data quality management while enabling scalable and compliant consumption of workforce data across the enterprise. 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 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 Define and operationalize data quality management practices including observability, issue triage, remediation workflows, SLA management, and certification processes 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 Work with structured and unstructured datasets across enterprise HR systems, analytics platforms, and cloud-based ecosystems 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 Contribute to governance-related transformation programs supporting workforce planning, reporting modernization, analytics enablement, and AI-driven operational capabilities Operate effectively within Agile delivery frameworks including Scrum and Kanban models while managing multiple cross-functional priorities Basic Qualifications 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 Preferred Qualifications 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 Experience defining enterprise metrics, business rules, governance workflows, and standardized reporting definitions Experience supporting enterprise data access governance, security frameworks, and compliance-related data controls Strong problem-solving, stakeholder management, communication, and executive presentation skills Ability to influence cross-functional teams and drive governance adoption across large, matrixed organizations Experience working in Agile delivery models including Scrum and Kanban frameworks Strong understanding of data requirements supporting analytics, workforce planning, business intelligence, automation, and AI enablement Suggested Skills: Data governance Stakeholder management Metadata management Data quality management Change management LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $95,000-$158,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits . 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. 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. 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. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates 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. |
| Salary Min | 95,000 |
| Salary Max | 158,000 |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://jobs.smartrecruiters.com/LinkedIn3/744000133075939-sr-data-governance-analyst |
| Apply URL | https://jobs.smartrecruiters.com/LinkedIn3/744000133075939-sr-data-governance-analyst?oga=true |
| First Seen At | 2026-06-20 11:02:10Z |
| Last Seen At | 2026-06-22 11:32:35Z |
| Last Checked At | 2026-06-22 11:32:35Z |
| Last Changed At | 2026-06-20 11:02:10Z |
| Inactive At | — |
| Source Posted At | 2026-06-19 13:45:12Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=linkedin3/date=2026-06-22/2026-06-22T11-32-20-034Z-6742f30f024dcd7e9807090db3ef4563c9cb905a71dbf0af2a45cc3167aab1a8.json |
Event Fields
{
"content_hash": "2a437830412f806d1a7303b06fdc470f4d33af7ef933476b39bef0834f49b51e",
"source_hash": "b088aced804464a55764a6d6ccc90d12bf6abe1d159853f4d53d40e00a17d6ab",
"last_changed_at": "2026-06-20T11:02:10.997Z",
"active_status": "active"
}Parsed Structured
{
"dedupe": null,
"language": "en",
"location": {
"raw": "Sunnyvale, CA, United States",
"city": "Sunnyvale",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": 158000,
"salary_min": 95000,
"inferred_at": "2026-06-22T11:32:35.250Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Sunnyvale, CA, United States",
"city": "Sunnyvale",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "hour",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"id": "744000133075939",
"ref": "https://api.smartrecruiters.com/v1/companies/linkedin3/postings/744000133075939",
"name": "Sr. Data Governance Analyst",
"uuid": "dec521c1-6d0d-497b-acc5-d28d7baab72c",
"detail": {
"id": "744000133075939",
"name": "Sr. Data Governance Analyst",
"uuid": "dec521c1-6d0d-497b-acc5-d28d7baab72c",
"jobAd": {
"sections": {
"jobDescription": {
"text": "<p>This role will be based in  Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C</p><p>At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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.  </p><p>This role will be part of the People Analytics organization within the Global Talent Organization (GTO) at LinkedIn. People Analytics enables better, faster, and more strategic workforce decisions through trusted data, scalable insights, and modern analytics platforms.</p><p>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.</p><p>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.</p><p>The successful candidate will help drive governance maturity across data ownership, stewardship, metadata management, observability, semantic modeling, and data quality management while enabling scalable and compliant consumption of workforce data across the enterprise.</p><p> </p><p><strong>Responsibilities:</strong></p><ul><li>Partner with functional teams, HR Technology, Engineering, Legal, Privacy, and Security teams to define and operationalize enterprise data governance policies, standards, and stewardship models</li><li>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</li><li>Drive governance initiatives focused on foundational AI readiness, including trusted data structures, standardized definitions, metadata enrichment, lineage visibility, and scalable semantic models</li><li>Evaluate and improve upstream business processes and data capture mechanisms to ensure enterprise systems produce high-quality, reliable, and AI-consumable data</li><li>Partner with cross-functional stakeholders to define enterprise metric standards, business glossary definitions, ownership models, and stewardship accountability frameworks</li><li>Support enterprise metadata management, cataloging, taxonomy management, lineage documentation, and semantic layer governance initiatives</li><li>Define and operationalize data quality management practices including observability, issue triage, remediation workflows, SLA management, and certification processes</li><li>Collaborate with data scientists, analytics teams, and engineering organizations to translate business requirements into scalable governance-enabled data solutions</li><li>Support the development of governance knowledge management capabilities including training, governance documentation, playbooks, operating procedures, and adoption frameworks</li><li>Work with structured and unstructured datasets across enterprise HR systems, analytics platforms, and cloud-based ecosystems</li><li>Develop and analyze SQL-based queries and semantic models to validate data integrity, reconcile metrics, and support governance controls</li><li>Partner with Engineering and platform teams to support implementation of modern cloud-based data ecosystems, governance tooling, and master data management solutions</li><li>Support access governance and data security processes including documentation of enterprise access models, sensitive data handling standards, and governance controls</li><li>Contribute to governance-related transformation programs supporting workforce planning, reporting modernization, analytics enablement, and AI-driven operational capabilities</li><li>Operate effectively within Agile delivery frameworks including Scrum and Kanban models while managing multiple cross-functional priorities</li></ul><p> </p>",
"title": "Job Description"
},
"qualifications": {
"text": "<p>Basic Qualifications</p><ul><li>BA/BS degree in Computer Science, Information Systems, Analytics, Engineering, or related field</li><li>5+ years of experience in Data Governance, Data Management, Analytics Engineering, or related enterprise data disciplines</li><li>8+ years of overall experience in Data, Analytics, Business Intelligence, or Technology functions</li></ul><p>Preferred Qualifications</p><ul><li>Experience implementing or supporting enterprise Data Governance programs, preferably within HR, People Analytics, or workforce-related domains</li><li>Strong understanding of modern Data Governance principles including stewardship, ownership, metadata management, lineage, observability, and data quality management</li><li>Experience supporting AI-ready data ecosystems through standardized data foundations, semantic modeling, metadata enrichment, and scalable governance practices</li><li>Ability to think beyond downstream reporting and evaluate how upstream business processes, workflows, and operational behaviors influence data quality and AI effectiveness</li><li>Strong proficiency in SQL/T-SQL and experience working with databases, semantic layers, and enterprise analytics environments</li><li>Experience with cloud-based data platforms, ETL/data pipelines, and modern data architecture patterns</li><li>Experience with data governance, metadata management, observability, catalog, or master data management tools (e.g., Profisee or similar platforms)</li><li>Familiarity with Power BI, DAX, SSAS, reporting frameworks, and semantic modeling concepts</li><li>Experience defining enterprise metrics, business rules, governance workflows, and standardized reporting definitions</li><li>Experience supporting enterprise data access governance, security frameworks, and compliance-related data controls</li><li>Strong problem-solving, stakeholder management, communication, and executive presentation skills</li><li>Ability to influence cross-functional teams and drive governance adoption across large, matrixed organizations</li><li>Experience working in Agile delivery models including Scrum and Kanban frameworks</li><li>Strong understanding of data requirements supporting analytics, workforce planning, business intelligence, automation, and AI enablement</li></ul><p><strong>Suggested Skills:</strong></p><ul><li>Data governance</li><li>Stakeholder management</li><li>Metadata management</li><li>Data quality management</li><li>Change management</li></ul><p> </p><p>LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $95,000-$158,000.</p><p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.</p><p>The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit <u>https://careers.linkedin.com/benefits</u>.</p><p> </p><p> </p><p> </p>",
"title": "Qualifications"
},
"companyDescription": {
"text": "<p>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.</p><p>Join us to transform the way the world works.</p>",
"title": "Company Description"
},
"additionalInformation": {
"text": "<div sr-tagline=\"\"></div><p><strong>Equal Opportunity Statement </strong></p><p>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.</p><p>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.</p><p>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.<br>\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36</p><p>Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:</p><ul><li>Documents in alternate formats or read aloud to you</li><li>Having interviews in an accessible location</li><li>Being accompanied by a service dog</li><li>Having a sign language interpreter present for the interview</li></ul><p>A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.</p><p>LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.</p><p><strong>San Francisco Fair Chance Ordinance </strong></p><p>Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.</p>\n<p><strong>Pay Transparency Policy Statement </strong></p><p>As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.</p>\n<p><strong>Global Data Privacy Notice and Compliance Posters for Job Candidates </strong></p><p>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.</p>",
"title": "Additional Information"
}
}
},
"jobId": "30ee65b3-27c8-420c-a328-905abb2aa76f",
"active": true,
"company": {
"name": "LinkedIn",
"identifier": "LinkedIn3"
},
"creator": {
"name": "",
"avatarUrl": ""
},
"jobAdId": "52e3427f-fb5a-416b-b75a-24925ae1464e",
"applyUrl": "https://jobs.smartrecruiters.com/LinkedIn3/744000133075939-sr-data-governance-analyst?oga=true",
"function": {
"id": "sales",
"label": "Sales"
},
"industry": {
"id": "internet",
"label": "Internet"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Sunnyvale",
"hybrid": true,
"region": "CA",
"remote": false,
"country": "us",
"fullLocation": "Sunnyvale, CA, United States"
},
"refNumber": "REQ22783",
"department": {
"id": 12235502,
"label": "GTO"
},
"postingUrl": "https://jobs.smartrecruiters.com/LinkedIn3/744000133075939-sr-data-governance-analyst",
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "5fca73e7a502b54127820081",
"valueId": "Sr. People Analytics Analyst",
"fieldLabel": "System Title",
"valueLabel": "Sr. People Analytics Analyst"
},
{
"fieldId": "5f342b6729cf3d34dae379be",
"valueId": "bb960dfc-ec2b-41c8-97cf-6fb155d89854",
"fieldLabel": "Employee Type",
"valueLabel": "Employee"
},
{
"fieldId": "5f342f14afa56d15f50c1a5b",
"valueId": "535057fb-da56-4f41-97c7-41e2e7351138",
"fieldLabel": "Tertiary Language",
"valueLabel": "N/A"
},
{
"fieldId": "6243642ce6aebe3bc5c22756",
"valueId": "e089500a-bc74-4552-a50d-551cceec2265",
"fieldLabel": "Workplace Type",
"valueLabel": "Hybrid"
},
{
"fieldId": "5f3425a7afa56d15f50c1a56",
"valueId": "fb3f5abd-a2c7-4135-b52c-626e43f97dd5",
"fieldLabel": "Recruiting Team",
"valueLabel": "NAMER ARM"
},
{
"fieldId": "5fca7483c7f623505f9a0585",
"valueId": "IC38",
"fieldLabel": "Career Track & Grade",
"valueLabel": "IC3/8"
},
{
"fieldId": "5fca715152c79415257db289",
"valueId": "UnitedStates",
"fieldLabel": "Cost Center Country",
"valueLabel": "United States"
},
{
"fieldId": "5fca72a4c7f623505f9a0584",
"valueId": "People Analytics - IC",
"fieldLabel": "Job Family and Level",
"valueLabel": "People Analytics - IC"
},
{
"fieldId": "5fca7110c7f623505f9a0582",
"valueId": "5136TalentInsights",
"fieldLabel": "Cost Center:",
"valueLabel": "5136 - Talent Insights"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5f342ede29cf3d34dae379c0",
"valueId": "dc376009-020d-45f9-8052-cba8d16799d8",
"fieldLabel": "Secondary Language",
"valueLabel": "N/A"
},
{
"fieldId": "5f342c57afa56d15f50c1a5a",
"valueId": "083bcabf-7d75-4f51-a91a-331d89c0d1b7",
"fieldLabel": "Region",
"valueLabel": "NAMER"
},
{
"fieldId": "5f342b9229cf3d34dae379bf",
"valueId": "0f99a586-37a4-4870-918e-8d72d49996d2",
"fieldLabel": "Time Type",
"valueLabel": "Full Time"
},
{
"fieldId": "5f342b333803e6711667cf97",
"valueId": "d85494f8-2715-4ca0-aa54-9bd61ccd74b6",
"fieldLabel": "Job Level",
"valueLabel": "Mid-Senior Level"
},
{
"fieldId": "5f3175c83263b149688b3d7b",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "LinkedIn"
},
{
"fieldId": "5f3175c83263b149688b3d7c",
"valueId": "12235502",
"fieldLabel": "Department",
"valueLabel": "GTO"
}
],
"referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/LinkedIn3/publication/dec521c1-6d0d-497b-acc5-d28d7baab72c?dcr_ci=LinkedIn3",
"defaultJobAd": true,
"releasedDate": "2026-06-19T13:45:12.495Z",
"experienceLevel": {
"id": "mid_senior_level",
"label": "Mid-Senior Level"
},
"typeOfEmployment": {
"id": "permanent",
"label": "Full-time"
}
},
"company": {
"name": "LinkedIn",
"identifier": "LinkedIn3"
},
"jobAdId": "52e3427f-fb5a-416b-b75a-24925ae1464e",
"function": {
"id": "sales",
"label": "Sales"
},
"industry": {
"id": "internet",
"label": "Internet"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Sunnyvale",
"hybrid": true,
"region": "CA",
"remote": false,
"country": "us",
"fullLocation": "Sunnyvale, CA, United States"
},
"refNumber": "REQ22783",
"department": {
"id": "12235502",
"label": "GTO"
},
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "5fca7483c7f623505f9a0585",
"valueId": "IC38",
"fieldLabel": "Career Track & Grade",
"valueLabel": "IC3/8"
},
{
"fieldId": "5fca72a4c7f623505f9a0584",
"valueId": "People Analytics - IC",
"fieldLabel": "Job Family and Level",
"valueLabel": "People Analytics - IC"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5f342ede29cf3d34dae379c0",
"valueId": "dc376009-020d-45f9-8052-cba8d16799d8",
"fieldLabel": "Secondary Language",
"valueLabel": "N/A"
},
{
"fieldId": "5f342b333803e6711667cf97",
"valueId": "d85494f8-2715-4ca0-aa54-9bd61ccd74b6",
"fieldLabel": "Job Level",
"valueLabel": "Mid-Senior Level"
},
{
"fieldId": "5fca73e7a502b54127820081",
"valueId": "Sr. People Analytics Analyst",
"fieldLabel": "System Title",
"valueLabel": "Sr. People Analytics Analyst"
},
{
"fieldId": "5f342b6729cf3d34dae379be",
"valueId": "bb960dfc-ec2b-41c8-97cf-6fb155d89854",
"fieldLabel": "Employee Type",
"valueLabel": "Employee"
},
{
"fieldId": "5f342f14afa56d15f50c1a5b",
"valueId": "535057fb-da56-4f41-97c7-41e2e7351138",
"fieldLabel": "Tertiary Language",
"valueLabel": "N/A"
},
{
"fieldId": "6243642ce6aebe3bc5c22756",
"valueId": "e089500a-bc74-4552-a50d-551cceec2265",
"fieldLabel": "Workplace Type",
"valueLabel": "Hybrid"
},
{
"fieldId": "5f3425a7afa56d15f50c1a56",
"valueId": "fb3f5abd-a2c7-4135-b52c-626e43f97dd5",
"fieldLabel": "Recruiting Team",
"valueLabel": "NAMER ARM"
},
{
"fieldId": "5fca715152c79415257db289",
"valueId": "UnitedStates",
"fieldLabel": "Cost Center Country",
"valueLabel": "United States"
},
{
"fieldId": "5fca7110c7f623505f9a0582",
"valueId": "5136TalentInsights",
"fieldLabel": "Cost Center:",
"valueLabel": "5136 - Talent Insights"
},
{
"fieldId": "5f342c57afa56d15f50c1a5a",
"valueId": "083bcabf-7d75-4f51-a91a-331d89c0d1b7",
"fieldLabel": "Region",
"valueLabel": "NAMER"
},
{
"fieldId": "5f342b9229cf3d34dae379bf",
"valueId": "0f99a586-37a4-4870-918e-8d72d49996d2",
"fieldLabel": "Time Type",
"valueLabel": "Full Time"
},
{
"fieldId": "5f3175c83263b149688b3d7b",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "LinkedIn"
},
{
"fieldId": "5f3175c83263b149688b3d7c",
"valueId": "12235502",
"fieldLabel": "Department",
"valueLabel": "GTO"
}
],
"defaultJobAd": true,
"releasedDate": "2026-06-19T13:45:12.495Z",
"detail_errors": [],
"experienceLevel": {
"id": "mid_senior_level",
"label": "Mid-Senior Level"
},
"typeOfEmployment": {
"id": "permanent",
"label": "Full-time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/3f3f0c84de215ea7a757fb567c430c7dc694da5e?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/a80bcf9f-5469-4827-aa6d-03bb1292edcdJSONGET https://api.bluedoor.sh/job-postings/v1/sources/033cb003-8739-4446-9881-4055ceed69d9JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/3f3f0c84de215ea7a757fb567c430c7dc694da5e/eventsJSON