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 Mountain View, San Francisco, New York, Chicago or remote. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.

LinkedIn was built to help professionals achieve more in their careers and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

With multiple external influences impacting how we work, it is essential we understand how space is being used and how employees and teams can use space more effectively in the future to do the best work of their careers.  This role will have a direct impact on the Workplace Strategy at LinkedIn and help inform, iterate, and improve the programs and services we provide our employees. 

LinkedIn’s Workplace Team is looking for a Director of Workplace Data Intelligence to operationalize the use of data throughout the Organization.  This role will report to the Senior Director of Workplace Data and Analytics and will manage the team to develop the architecture, reporting, and tools required that inform our workplace strategy and real estate requirements.

Key Responsibilities

• Manage Workplace Data Intelligence functional areas requiring a blend of leadership and deep technical skills (functional areas includes Data Engineering (DE), Business Intelligence (BI), Gen AI (GAI) teams)
• Develop and maintain the data and analytics roadmap, ensuring alignment with business objectives; act as liaison with stakeholders at all levels in the business
• Manage and prioritize incoming work requests, balancing them against current projects and resources
• Prepare and deliver regular updates to leadership on project status, risks, and outcomes
• Build relationships with various departments to understand their data needs and align analytics initiatives accordingly
• Oversee the following functional efforts:
  • end-to-end delivery of data intelligence projects, ensuring timely completion and quality outcomes
  • data quality and accuracy of reports and dashboards
  • Development, build, and operationalization of a data governance model
• Develop a deep understanding of LinkedIn’s privacy and information security policies and drive all Workplace data privacy requests through appropriate reviews and approvals
• Develop a deep understanding of the business requirements and create solutions to solve these.  This includes functional business groups within LinkedIn (Engineering, Sales, Finance) and Workplace
• Provide Workplace with thought leadership on how we use data analytics to provide insights to both Workplace and Employees
• Manage software licenses and data integrations as needed to support Insights and related reports
• Travel required (approximately 10%)

Basic Qualifications

• 10+ years as a data architect with experience manipulating data sets and building statistical models
• 10+ years managing the development of end-to-end Enterprise Data Platforms and Business Intelligence solutions

Preferred Qualifications

• Familiarity with data analytics tools, methodologies, and best practices
• Excellent collaborator and ability to work with others of different backgrounds to find solutions to complex problems
• Demonstrated ability to communicate clearly and effectively, both in verbal and written form
• Self-motivated and performance driven, willingness to take necessary actions to deliver on commitments
• Ability to drive technical strategy for large, global, complex organizations across multiple stakeholders and teams
• Master’s in Statistics, Mathematics, Computer Science, or equivalent experience
• Ability to manage data, building dashboards and reports for a Workplace Organization

Suggested Skills

• Data Analytics 
• Business Intelligence
• Technical Strategy
• Cross-functional Collaboration

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $161,000-$262,000. 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 at [email protected] 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. 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.