Sr. Director, People Analytics

This role will be based in San Francisco or Mountain View.

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.

We are hiring a Senior Director to help build how the company makes workforce and organizational decisions at scale. 

This role sits inside People Analytics and operates as part of LinkedIns broader decision-making system. The focus is on translating data business context and real-world signals into clear actionable decisions that shape how the company grows operates and performs. 

People Analytics at LinkedIn is evolving into more than an insights function. The goal is to build a decision system for the company. A way of consistently translating workforce data business context and real-world signals into high-quality decisions at scale. 

This role sits at the center of that shift. 

It exists to help the company move faster and with more clarity by: 

• Connecting data context and strategy into a coherent enterprise view 
• Making tradeoffs explicit when decisions are complex or ambiguous 
• Ensuring workforce insights are framed in a way leaders can actually use 
• Shaping how People Analytics focuses its effort against the decisions that matter most 

Over time this work turns People Analytics into part of the companys operational decision-making system. Not just informing leaders after the fact but actively shaping how decisions are framed prioritized and executed. 

This role is for someone who wants to operate at that edge. Where strategy data and judgment come together to improve how a company runs.

This is not a reporting role and not an analytics production role. It is a senior strategy role that uses workforce data as a core input to improve decision quality speed and clarity across the company.

Key Responsibilities

• Operate as a strategic thought partner to senior leaders on workforce organization and operating model decisions. 
• Synthesize signals across data finance business operations and lived experience into a coherent enterprise view. 
• Frame the right questions and tradeoffs when decisions are ambiguous cross-functional or high-stakes. 
• Shape how People Analytics prioritizes its work against the decisions that matter most. 
• Partner closely with Finance and Business Operations on workforce planning execution tradeoffs and risk. 
• Translate complex analysis into decision-ready narratives that leaders can act on. 
• Influence how analytics tooling and data capabilities are designed to support durable decision-making over time. 
• Help establish consistent ways of thinking about workforce decisions across the company.

Qualifications :

Basic Qualifications

• 12 years in strategy business operations finance consulting or a related field.
• Bachelors degree in Business Economics Data Science IO Psychology or related field.
• Proven leadership managing high-performing teams in analytics or business operations.

Preferred Qualifications

• Demonstrated ability operating at the enterprise level with senior executives. 
• Strong judgment and comfort working in ambiguity and incomplete information. 
• Proven ability to synthesize quantitative data and qualitative context into clear points of view. 
• Experience shaping decisions not just supporting them. 
• Strong executive communication and influence skills. 
• High analytical and technical fluency without needing to be hands-on. 
• Background in Strategic Finance Corporate Strategy Business Operations Management Consulting or Internal Strategy and Transformation at scaled complex organizations

Suggested Skills

• Strategic Insights 
• Business Operations
• Data Synthesis

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $198000-$326000. 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 :

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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No

Employment Type :

Full-time