Sr. Manager, Compensation

This role will be based in Atlanta, 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. 

LinkedIn’s Compensation Operations and Excellence team is searching for a Sr. Manager, Compensation to join our team! The successful candidate for this position will drive the key strategic compensation initiatives across LinkedIn.  This individual will play a key role in implementing AI strategy for compensation programs.

Responsibilities: 

• Drive global AI strategy for compensation and benefits that creates efficiency and is scalable across all tools, dashboards, and systems. 
• Continually assess and stay ahead of the curve on the technology side
• Drive global pay equity and pay transparency programs including gender pay
• Lead data governance and compliance
• Lead compensation related projects and initiatives involving multiple stakeholders with significant strategic and financial impact 
• Leveraging cross functional partners and firm-wide resources to achieve desired outcomes efficiently and with consistency

Basic Qualifications:     

• BA/BS Degree in Data Science or related field 
• 8+ years of data analytics experience (using advanced Excel, SQL, Python and data visualization & modeling tools)
• 2+ years of experience working with AI tools

Preferred Qualifications:     

• Ability to work collaboratively and to cultivate and sustain strong partnerships with internal and external clients and colleagues 
• Excellent analytical skills, experience running regression models
• Strong planning and project management skills 
• Exceptional systems skills: Business Objects and Web intelligence / Desktop Intelligence skills preferred. 
• Experience with SQL 
• Proactive and resourceful: Independently capable of seeking information, solving conceptual problems, corralling resources, and delivering results in challenging situations.
• Strong communication skills and storytelling abilities to distill complex data insights into compelling, action-oriented recommendations. 
• Enthusiastic, team-first attitude: Motivated to work hard in a fast-paced, ever-changing environment to help our growing business.   

Suggested Skills:

• Compensation Analytics
• Predictive Modeling
• Data Governance
• AI Enablement
• Stakeholder management

 

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $144,000 to $234,000. 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.

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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 for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.