Sr. Manager, People Analytics

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

AtLinkedIn our approach to flexible work is centered on trust andoptimizedfor culture connection clarity and the evolving needs of our work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days asdeterminedby the business needs of the team. 

At LinkedIn our People Analytics team empowers leaders to make better faster and more informed workforce decisions through trusted data scalable reporting and actionable insights. We partner across Human Resources Talent Acquisition HR Technology Finance and business leadership to build data products and analytics solutions that improve the employee experience and drive business outcomes.

We are seeking a Senior Manager People Analytics to lead enterprise data governance efforts across the People Analytics ecosystem. This role will be responsible for developing governance strategies establishing operating frameworks and driving adoption of standards that ensure people data is trusted secure compliant and ready to support reporting analytics automation and AI-enabled capabilities. The role will partner closely with HR Technology Data Engineering Privacy Security Legal and business stakeholders to improve data quality stewardship accessibility and accountability across the employee data lifecycle.

Responsibilities

• Lead the strategy roadmap and execution of people data governance initiatives across People Analytics and related HR data domains.
• Define and operationalize governance frameworks for data ownership stewardship metadata management lineage access governance and lifecycle management.
• Establish standards policies and operating procedures that improve data quality consistency reliability and usability across people data assets.
• Partner with HR Technology Data Engineering Legal Privacy Security and business stakeholders to align governance practices with enterprise requirements.
• Develop and maintain business glossaries data definitions stewardship models and governance operating processes.
• Drive data quality initiatives including issue identification monitoring remediation workflows and governance reporting.
• Lead metadata cataloging lineage and data discovery efforts that enable trusted self-service analytics.
• Partner with technical teams to embed governance standards within data platforms reporting environments and data products.
• Support governance of sensitive employee data through classification standards access controls and compliance-related processes.
• Create training materials documentation and stakeholder engagement plans that promote governance adoption across the organization.
• Influence leaders and stakeholders to strengthen accountability for data quality stewardship and governance outcomes.
• Contribute to People Analytics transformation initiatives that support workforce planning reporting modernization automation and AI-enabled solutions.

Qualifications :

Basic Qualifications

• BA/BS degree in Computer Science Information Systems Analytics Data Management Engineering Business or a related field or equivalent practical experience.
• 8 years of experience in data governance data management analytics business intelligence data engineering or related disciplines.
• 3 years of experience leading enterprise data governance initiatives data quality programs or cross-functional data transformation efforts.
• Experience developing and implementing governance frameworks covering data ownership stewardship metadata management lineage access controls and data quality.
• Experience partnering with technical and business stakeholders to establish data standards governance processes and operating models.
• Experience utilizing SQL or similar data analysis tools to support data validation issue investigation and governance activities.

Preferred Qualifications

• Knowledge of governance practices supporting sensitive and highly regulated data domains.
• Background building trusted data foundations that support analytics reporting automation and AI-enabled decision making.
• Familiarity with data catalog metadata management or governance platforms such as Microsoft Purview Collibra Alation Atlan Profisee or similar solutions.
• Knowledge of cloud-based data platforms modern data architectures and enterprise analytics ecosystems.
• Background supporting data quality frameworks observability programs certification processes and remediation workflows.
• Ability to define enterprise metrics business glossaries governance standards and stewardship operating models.
• Background evaluating upstream processes and identifying opportunities to improve data quality and analytics outcomes.
• Ability to communicate governance concepts to both technical and non-technical stakeholders.
• Demonstrated success building new programs and driving adoption across matrixed organizations.
• Background leading initiatives in complex cross-functional environments.

Suggested Skills

• Data Governance
• People Analytics
• Data Quality Management
• Metadata Management
• Stakeholder Management

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $00 . 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 Information :

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No

Employment Type :

Full-time