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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 San Francisco or Mountain View.

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 role of our Marketplace Strategic Finance org is to make sense of complex business data to help LinkedIn make the best strategic decisions to grow and operate the business. The StratFin Data and Analytics team (FDNA) is a multidisciplinary team of data and analytics professionals, where we build decision-grade intelligence for business performance management, short/long-term forecasting, and business optimization across LinkedIn’s member ecosystem and monetization channels.

We are on a multi-year journey to empower the best strategic finance organization with:

+ Easy access to a rich set data, metrics, and reports curated for finance

+ Analytics partnership to bring clarity to complex problems

+ ML/AI tools that augment existing processes around performance monitoring and forecasting

We’re seeking an experienced data leader to own and scale FDnA. You will set product vision and operating cadence, partner closely with Strategic Finance leadership, and ensure continuity and evolution of the core data assets the team has created.

Key Responsibilities:

Execution & Organization

+ Lead and develop a high‑performing, multi‑disciplinary team spanning analytics engineering, business intelligence, and ML/AI applications. Establish operating rituals for roadmap, OKRs, and quality.

+ Own end‑to‑end delivery of FDnA data foundations, reports/dashboards, and intelligent applications; ensure reliability and scale across StratFin’s data ecosystem.

+ Partner cross‑functionally (Finance, Product, Sales, Engineering) to integrate FDnA assets into business workflows for performance management, forecasting, and optimization.

Strategic Thinking

+ Understand the highest priorities of the business and proactively provide insights and build data products to support those priorities

+ Champion novel ideas and AI‑enabled workflows; develop execution plans and roadmaps for FDnA applications

Stakeholder Influence

+ Synthesize performance drivers, forecasts, and trends into clear narratives that influence senior stakeholders; drive alignment on strategic decisions and trade‑offs.

+ Serve as a thought partner to Strategic Finance leaders on where emerging tools and technologies in data and AI will unlock faster time‑to‑insight.

Basic Qualifications

+ Bachelor's Degree in quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related AND minimum 10 years of experience in data and analytics, or related field OR equivalent experience

+ 5+ years leading multi‑disciplinary teams that ship data products/AI solutions used in business decisioning.

+ Skilled in SQL, Python, and Data Visualization

Preferred Qualifications

+ Proven success building curated data assets and AI/ML‑driven applications for forecasting, anomaly detection, and prescriptive insights

+ Expertise with modern data/BI platforms (e.g., Microsoft Fabric, Databricks) and production‑grade pipelines (e.g. Airflow, Spark)

+ Domain familiarity with various monetization models (B2B SaaS, B2C SaaS, Online Media)

+ Track record of operational efficiency (automation at scale), with measurable time‑savings and accuracy improvements across business processes.

+ Executive communication: ability to craft clear narratives from data and influence strategic decisions across senior stakeholders.

Suggested Skills

+ Data analysis and interpretation

+ Effective communication

+ Project management and prioritization

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $173,000-$280,000 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.