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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.

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 can be based in our San Francisco, CA or Mountain View, CA offices.

You are a hybrid product‑data‑AI expert who will lead a team of talented analytics engineers / builders developing best-in-class self-serve analytics products on LinkedIn's internal stack that empower decision-makers across the company. You'll be responsible for driving our analytics platform roadmap from legacy systems to modern, AI-powered solutions.

You will manage our Ecosystem Business Intelligence & Analytics (EBIA) team. Self-serve analytics roadmap includes automation of reporting dashboards, Ecosystem Metrics platform, Ecosystem Hub of Analytics tools (eg. root-cause analyzer), and our innovative AI-powered analytics agents. In this role, you will bridge technical expertise with business acumen to transform how our organization leverages data for decision-making.

Responsibilities:

+ Lead and develop a team of technical professionals responsible for building and maintaining our analytics ecosystem

+ Execute on our product roadmap to deliver self-service analytics tools, metric standardization, and AI-powered insights (innovative LLM-powered analytics agents that automate insight generation)

+ Drive the technical implementation of our self-serve analytics roadmap, coding alongside your team when needed

+ Architect and develop scalable Python-based solutions for data pipelines, metric processing, and AI integration

+ Partner closely with Strategic Finance, Product, and Engineering teams to translate business requirements into technical solutions

+ Drive the migration from legacy systems (Azkaban) to modern data platforms (Airflow)

+ Lead the development of our metrics ecosystem, ensuring data quality, reliability, and consistency

+ Oversee the implementation of AI-assisted analytics capabilities

+ Build and maintain executive dashboards that drive business decisions

+ Drive continuous improvement in team processes and analytics deliverables

Basic Qualifications:

+ 8+ years of experience in analytics, business intelligence, or data engineering

+ 2+ years of people management experience, preferably leading technical teams

+ Technical background in SQL, data modeling, and analytics infrastructure

+ Experience with modern data pipelines and visualization tools

+ Bachelor's degree in Computer Science, Engineering, Statistics, or related field, or equivalent experience

Preferred Qualifications:

+ Experience with AI/ML integration into analytics products, particularly with LLMs

+ Knowledge of data engineering principles, ETL pipelines, and data quality frameworks

+ Strong Python programming skills with experience building production-quality applications

+ Experience with modern BI tools such as Tableau, Power BI, or similar platforms

+ Familiarity with dashboard design and data visualization best practices

+ Proven ability to translate complex technical concepts to non-technical audiences

+ Experience with agile development methodologies and product management

+ Strong systems skills with preference toward Airflow, SQL, and modern web frameworks

+ MBA or Master's degree in a related technical field is a plus

Suggested Skills:

+ Data Pipeline Architecture

+ SQL

+ BI tools

+ LLM / Agents for Data

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $146,000 to $237,000. 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.