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.

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.

This role will be based in San Francisco Bay Area, Mountain View, or New York.

The Data Foundations Manager will join our newly formed Data team in the Center of Ops Innovation org and lead global data initiatives for the CFO department. This is a unique role within the Strategic Finance function focused on informing more efficient operations and capital investments through powering high-impact data-driven decision-making and insights. This Data org combines business acumen with data engineering, data strategy & governance, and advanced analytics capabilities to provide a data-driven perspective on LinkedIn’s business performance and enable its efficient scale and operations. In this role, you will learn the Finance ecosystem inside-out, develop roadmaps, test & learn, and power data that supports hundreds of global stakeholders. Additionally, you will cultivate strong relationships and collaborate cross-functionally with Finance leaders, Engineering, Data Science, and vendors in order to identify opportunities, design, and deliver results.  

This position offers a candidate with data, business intelligence, or analytics experience an exciting and high-profile opportunity to influence the trajectory of LinkedIn overall through building and maintaining data foundations that fuel every level of our business.  

Responsibilities:

• Inspire excellence through example, coaching, developing and inspiring others; foster a positive and values-driven team culture    

• Build a scalable solution that synthesizes bookings, expenses, headcount, and product data to provide a foundation for financial analysis and decision making 

• Lead global data foundations and operations initiatives including solution design, roadmap development, prioritization, and successful implementation  

• Create and propose solutions to enable better data integrity, decrease overall complexity, minimize technical debt, simplify processes, and improve productivity  

• Act as a key data & analytics partner to Global Finance leaders to understand business challenges and create data-centric solutions to address them 

• Work with data teams across Sales, Finance, HR, DS, Eng to influence our broader data strategy, source various datasets, and ensure alignment 

• Identify incremental opportunities and drive innovations across programs and tools to improve user experience, ensure data accuracy, increase data reliability, and unlock productivity

• Effectively communicate the status of projects and insights globally

Basic Qualifications  

• Bachelor's Degree in Business, Business Analytics, Finance, or related field AND minimum 5 years of experience in finance, finance accounting, management consulting, investment banking, or related field OR equivalent experience

• 4+ 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

• 2+ years of experience using SQL to create, manage, maintain, and manipulate large datasets 

Preferred Qualifications  

• 2+ years of experience creating and maintaining business-critical datasets, data infrastructure, tools, and systems

• 2+ years of experience with Python and Data Visualization (Tableau, PowerBI)

• Track record of driving measurable business impact through technical expertise and business acumen; analytical, structured, systematic and creative problem solver

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

• Experience in a strategy and finance role, demonstrated understanding of FP&A processes, or demonstrated genuine interest in learning the space 

• Proven experience managing a large, diverse group of stakeholders and driving global projects independently

• Ability to communicate findings clearly to both technical and non-technical audiences 

Suggested Skills:

• Data Analysis

• Business Intelligence

• Data Visualization

• Cross-Functional Partnership

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $123,000 to $199,000. 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 office 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf (https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf) .

Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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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 accommodations@linkedin.com 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.

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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.

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