LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats 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 Mountain View.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on whats best for you and when it is important for your team to be together.

We are seeking a highly skilled and motivated Sr. Information Architect to join our team. As a Sr. Information Architect, you will be responsible for designing and implementing information structures and systems that enhance our knowledge management and delivery capabilities. You will work closely with various cross-functional partners to ensure our information assets are well-organized, easily accessible, and effectively utilized.

The Knowledge Management Solutions (KMS) team is responsible for creating and delivering instructional, procedural and technical content for LinkedIns members, customers and employees. The content is created both manually and using GAI, and is distributed externally to LinkedIns Help Centers, Virtual chat agents, and in-product experiences (including those powered by AI/GAI) where our customers and members self-serve. Employees also use this content internally through enterprise search systems and CRMs.

This position reports to Senior Manager, Knowledge Management Solutions.

Responsibilities:

Taxonomy and Ontology Development: Create and maintain logical and user-friendly structures for categorizing and organizing information, including taxonomies, metadata schemas, ontologies and content models to ensure discovery and reuse of content.

Information Architecture Design: Create intuitive information architectures and navigation systems for various content delivery channels such as Help Center, Virtual chat agents, In-Product Help and AI powered features, empowering users to easily find and share information.

Content Models and Structures: Develop content/data models and structures to standardize and organize content, leveraging frameworks such as DITA, for efficient creation, management, and reuse of knowledge assets.

Search and Discovery Optimization: Ensure effective search and discovery capabilities by optimizing search algorithms, metadata, and information retrieval processes, enabling users to quickly find relevant information.

Knowledge Maps and Visualization: Develop knowledge maps, concept maps, and visualizations to illustrate relationships between information assets, expertise, and knowledge flows, facilitating understanding and navigation of complex knowledge.

Collaboration: Work closely with Content Strategy, Editorial, Localization and Knowledge Engineering teams to integrate information architectures into content creation processes and technology platforms ensuring seamless implementation and interoperability.

User Experience: Partner with Product Marketing and Product Management teams to conduct user research and usability testing, ensuring information systems meet the needs of end-users and content consumers and provide an intuitive experience.

Content Management: Oversee the organization and categorization of information within our content management systems (CMS) to ensure consistency, accessibility and effective information retrieval.

Information Governance: Establish and enforce policies and procedures for the management of information assets, ensuring compliance with relevant regulations and standards.

Measure Impact: Utilize data analytics and visualization tools to define relevant metrics, track performance, and analyze user behavior. Design and conduct A/B tests to evaluate changes and create compelling narratives and visualizations to communicate insights and demonstrate the impact of information architecture on business objectives and user experience.

Basic Qualifications:

Bachelors or Master's degree in Information Science, Library Science, Computer Science, or a related field

5 years of experience in information architecture, knowledge management, or a related field

Preferred Qualifications:

Certification in Information Architecture, UX Design, or Knowledge Management

Expertise of metadata standards, taxonomies, and classification systems

Experience with DITA (Darwin Information Typing Architecture) and developing structured content models

Experience with Knowledge graphs and their application in information retrieval and data relationships

Experience with user experience (UX) design, including user research and usability testing

Familiarity with SEO/Search and information governance practices

Detail-oriented with ability to take initiative, communicate clearly, work through ambiguity, and proactively address problems

Proficiency in content management systems (CMS) and related technologies

Familiarity with SQL, Python or other data analytics/data science languages

Suggested Skills:

Information Architecture

Knowledge Management

Analytical

Communication

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $89,000 to $135,000. 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

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://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=xcELJV) .

Please reference the following information for more information: 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.

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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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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.