Manager, Strategic Intelligence - job 1 of 2

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 position can be performed in San Francisco or Sunnyvale, depending upon which location the applicant chosen for the role is currently residing. 

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.

The Manager, Strategic Intelligence, will be a key member of the Central Operations team within Global Business Organization (GBO). The Central Operations team is made up of operational, policy, and revenue driving teams that are the engine behind LinkedIn’s SaaS and Marketing businesses. They will partner closely with Deal Desk and Pricing leadership, cross GTM Ops teams, and leadership to advise, manage and drive recommendations across priorities as part of GTM Operations. They will build connective tissue across leaders, teams and programs to create leverage, optimize growth and scale the business. As a manager on the team, you will be managing a high-performing team with a strong technical and analytical profile. You will partner with senior leaders and cross-functional partners to understand business needs, find opportunities to innovate at scale, and drive strategic recommendations. You will also coach and inspire your team to evolve current analytical solutions towards predictive and prescriptive insights. 

Responsibilities: 

• Leverage data analytics to inform strategic decision-making and measure the effectiveness of key business initiatives, ensuring alignment with organizational goals and continuous performance optimization. 

• Lead global data analytics initiatives including solution design, roadmap development, prioritization, and successful implementation; 

• Effectively communicate and develop collaborative relationships with stakeholders to design and implement global solutions to drive productivity and business impact; 

• Create and propose solutions to enable better data integrity, reduce complexity, improve technical quality, simplify processes, and increase productivity; 

• Coach and inspire the team to drive bottoms-up innovation through new tools, analytics and techniques; 

• Lead cross-functional teams on opportunities to achieve common goals; 

• Foster our culture of collaboration, trust, growth mindset and psychological safety.   

• Learn quickly, be agile and proactive, as well as assume ownership for broad tracks and global workstreams  

• Keep a finger on the pulse of the business to ensure it is operating as successfully as possible, stepping in to help drive improvements as needed 

• Gain an in-depth understanding of the SaaS and Marketing businesses, with the ability to understand the big picture and drop into process level details as needed 

• Conduct research on industry trends and gather competitive intelligence as input to strategies and recommendations 

• This role will travel domestically and internationally as required. 

Basic Qualifications: 

• Bachelor’s degree in Math, Computer Science, Economics, Analytics, Business, Engineering or other quantitative fields, OR equivalent experience 

• 6+ years of experience working with data, systems or tools in a business setting, including data management, data science, analytics, business intelligence, operations, engineering, reporting, or consulting 

• Experience using data to develop metrics, assess performance, run exploratory analyses, find improvement areas, and generate recommendations to improve business performance 

• Experience working with Sales Operations or Order-to-Cash teams (deal desk, pricing, order management, etc.) 

• Experience with major data analytics tools – e.g. Python, Tableau, PowerBI, and SQL 

• 2+ years of people management experience 

Preferred Qualifications: 

• Proven experience leading data & BI initiatives, including data infrastructure, end-to-end solution design, deployment, process transformation, troubleshooting, and data-driven insights 

• Proven experience managing a large, diverse group of stakeholders and driving global projects independently, including knowledge of systems such as JIRA, Confluence 

• Proven track record of program management for large, cross-functional, strategic enterprise-wide programs 

• Experience running analytics vendor programs is a plus 

Suggested Skills: 

• People Management  

• Data Analysis  

• SQL or Python

• Order-to-Cash Processes  

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $127,000 to $208,000. 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.

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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.

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