Company Description
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.
Job Description
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 Mountain View, San Francisco Bay Area, or New York.
We are looking for a strategic, data-driven leader with deep analytical expertise to join our Strategic Finance team as a Manager supporting LinkedIn's Marketing Solutions business (LMS). In this new role, you will primarily lead our Data Science partnership, focused on enhancing our ads marketplace understanding through sophisticated frameworks and analyses. You’ll help the team better answer critical questions like:
How does engagement drive monetization? How do ROI improvements impact revenue? What is the incremental value of product adoption? You’ll also develop frameworks to measure incrementality, forecast and explain metric variances, and ensure teams are accountable for achieving their goals.
Additionally, you will support our agentic/AI growth initiative, a critical venture bet to build a paradigm-shifting product experience that leverages AI to deliver enhanced value to marketers and sellers. You'll collaborate with R&D leadership while influencing cross-functional stakeholders to drive strategic decisions through data-backed insights. We're seeking someone who can confidently share and challenge points of view with senior stakeholders, engage deeply with technical partners on complex data projects, and effectively translate between technical and business contexts. You'll develop executive-ready narratives that shape investment priorities and growth strategies while maintaining credibility across both Data Science and business teams. The ideal candidate combines exceptional analytical rigor, strategic vision, technical curiosity, and excellent stakeholder management skills to help accelerate sustainable growth for LinkedIn's ads business.
Responsibilities:
Strategic Thinking:
- Begins to identify new opportunities for growth within a limited scope and leads strategy development with business partners.
- Validates and executes complex pressure testing of growth opportunities.
- Provides guidance and support to more junior team members learning to operationalizes ideas and develop plans for execution.
- Maintains collaborative relationships with other teams and proactively seeks input and feedback to develop an understanding of their priorities and constraints.
Stakeholder Influence:
- Communicates implications of work (e.g., forecasts, analyses, trends) and implications of internal/external factors to management and cross-functional stakeholders to drive action.
- Leverages insights and data to develop narratives to influence stakeholders.
- Synthesizes problems and communicates point of view to drive alignment and decision-making on issues within area of responsibility.
Execution & Organization
- Independently partners with cross-functional stakeholders to support the growth of initiatives by providing a metrics-oriented perspective.
- Serves as a resource for stakeholders to answer a wide variety of complex questions.
- Independently drives the development of large workstreams, projects, or operational processes.
- Proactively identifies obstacles and recommends solutions.
Performance Management
- Supports performance management by creating, maintaining, and updating complex models and forecasts and develops improvements/alternatives for key metrics.
- Provides informal coaching and mentorship to junior team members working to forecast and analyze risks and opportunities in meeting targets.
- Leverages highly advanced knowledge to develop hypotheses using identified signals, trends, and risks.
- Executes ad hoc analyses to prove/disprove hypotheses and address highly complex business questions, deriving actionable insights from results.
- Partners with cross-functional teams to design experiments to close deviations from targets.
Culture & Values
- Works as part of a team that supports the culture and values of the organization, including people development and diversity, inclusion, and belonging.
- Provides actionable, concrete project-oriented feedback (after a meeting, end-of-project review) to colleagues and/or partners.
- Seeks out new opportunities for career growth and skill development and shares with others.
Qualifications
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.
Preferred Qualifications:
- 3+ years of experience in the technology industry.
- 1+ years of data analytics or statistics experience
Suggested Skills:
- Strategic Thinking
- Cross-Team Collaboration
- Data Analysis
- Project Management
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.
Additional Information
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.
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.
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 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.
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.
