Full-Time

AI and Data Product Analyst

Semantic Engineering and AI Practice

Enterprise Knowledge

Enterprise Knowledge

51-200 employees

Knowledge management consulting and data transformation

Compensation Overview

$95k - $120k/yr

No H1B Sponsorship

Arlington County, Arlington, VA, USA

Hybrid

Three days on-site per week required; applicants must live within a comfortable, commutable distance of the Arlington office.

Bachelor's

Category
Consulting (1)
Required Skills
Agile
JIRA
Confluence
Business Strategy
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides

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Requirements
  • Two to five years of relevant experience, including internships, academic projects, or early professional experience in consulting, data, or technology environments.
  • A bachelor's degree in a relevant field such as Information Science, Data Analytics, Business, Computer Science, or a similar field.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong attention to detail and organizational skills.
  • Interest in knowledge management, data, artificial intelligence, and semantic technologies.
Responsibilities
  • Support the design and implementation of enterprise knowledge, data management, and artificial intelligence solutions.
  • Assist in gathering and analyzing client requirements, business processes, and system landscapes.
  • Contribute to developing solution recommendations, documentation, and deliverables.
  • Support workshops, stakeholder interviews, and working sessions to define client needs and project goals.
  • Assist in interpreting and documenting semantic models, taxonomies, ontologies, and related solutions.
  • Collaborate with cross-functional teams to support project milestones and deliverables in an agile environment.
  • Develop client-facing presentations, reports, and training documentation.
  • Participate in client meetings and internal discussions, contributing insights and taking detailed notes.
  • Support testing, implementation, and validation of solutions to ensure alignment with client requirements.
  • Contribute to internal initiatives, knowledge sharing, and practice development efforts.
  • Continuously develop consulting, communication, and technical skills.
Desired Qualifications
  • Exposure to knowledge management, data management, or semantic technologies through coursework, internships, or projects.
  • Familiarity with Excel, PowerPoint, JIRA, Confluence, or similar collaboration tools.
  • Experience supporting research, data analysis, or business analysis efforts.
  • Basic understanding of agile methodologies.
  • Experience with taxonomy, ontology, or metadata concepts through academic or practical work.
  • Interest in consulting, facilitation, or client-facing work.

Enterprise Knowledge provides end-to-end management consulting focused on capturing, organizing, presenting, and leveraging information across public and private sectors. It helps organizations turn people and data into actionable knowledge through knowledge management, data and content management, and learning management services. Its offerings include training, workshops, pilots, prototypes, and enterprise-scale transformations, all centered on applying semantic layers and knowledge graphs to enable Enterprise AI. The company differentiates itself by delivering practical, full-range solutions that drive tangible returns and user satisfaction, backed by a strong workplace culture recognized as a Best Workplace. The goal is to ensure information and data can be found, used, and reused to maximize value for customers and employees through scalable, AI-enabled knowledge ecosystems.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Arlington, Virginia

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • EK is hiring a Semantic Data and AI Engineer, signaling active demand.
  • June 2026 YMCA and Tax Analysts work prove repeatable search and taxonomy delivery.
  • September 2026 Progress Data Platform Summit and July keynote panels keep EK visible.

What critics are saying

  • Consulting revenue depends on billable experts; losing Sara Nash or Zach Wahl hurts delivery.
  • Docebo AgentHub and Microsoft Copilot bundle enterprise knowledge, compressing EK’s differentiation by 2027.
  • If EK misses productization, larger firms like Accenture will capture AI-readiness projects.

What makes Enterprise Knowledge unique

  • July 2026: EK’s Sara Nash framed AI-readiness around semantic engineering and governance.
  • EK’s 2026 work spans taxonomies, knowledge graphs, hybrid search, and AI architecture.
  • KMWorld named EK an AI 100 Trailblazer for seven straight years.

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Company News

Enterprise Knowledge
Jul 10th, 2026
Sara Nash presenting keynote panel at Data Architecture Online 2026.

Sara Nash presenting keynote panel at Data Architecture Online 2026. July 10, 2026 Sara Nash, Practice Lead for Semantic Engineering and AI at Enterprise Knowledge, will be moderating the keynote session titled "The AI Reality Check: Why Most Data Architectures Aren't Ready" at Data Architecture Online's annual event on Wednesday, July 22nd at 2:30 PM EST. Through this session, attendees will gain valuable insights into what actually breaks when AI moves beyond the pilot phase, the architectural decisions that drive scalable solutions, and practical strategies for moving from reactive fixes to intentional, AI-ready architecture. The panelists will discuss topics such as: * The architectural gaps organizations consistently overlook, from fragmented control planes and missing metadata to unclear ownership and inconsistent meaning across systems; * The role of governance in enabling rather than slowing down AI initiatives, and what it takes to build data and models that can actually be trusted; and * How organizations can align data, context, governance, and execution to build pipelines and architecture that hold up under real-world pressure and scale.

Enterprise Knowledge
Jun 16th, 2026
A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact.

A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact. June 16, 2026 The world of knowledge management is moving at a fast pace and it is challenging to keep up with trends that often demand investing in the latest tooling to solve increasingly complex semantic challenges. However, for many organizations, particularly non-profits, many advanced systems and solutions are prohibitively expensive. The YMCA of the USA (Y-USA) recognized a need to control their shared knowledge base and develop guidance around knowledge management without breaking the bank, and partnered with Enterprise Knowledge to develop custom taxonomies to be implemented in their existing systems. As they found, applying best practices in semantic modeling to existing systems can go a long way in improving the end user experience. Bonnie Griffin (Enterprise Knowledge) and Miriam Heard (YMCA of the USA) shared their experiences leveraging taxonomy to improve functionality at the ASIS&T Information Science Summit and Special Libraries Conference in Albuquerque, New Mexico on June 8th, 2026. In their presentation, "A Practical Guide to an Intranet Remodel: Small Taxonomy Wins for a Big Impact," Bonnie and Miriam provide an overview of how to approach a "taxonomy remodel," following the analogy of a home renovation. They talk through the different phases of their taxonomy project, outlining their approaches to surfacing user needs, developing custom taxonomies, conducting validation activities, and establishing a flexible governance plan. Heard and Griffin also share how they fostered a partnership to create a system that stuck to the basics and accomplished a long-awaited taxonomy development goal, building a basis for sustainable knowledge management with modest tools and a grassroots group of passionate people. Participants in this session gained insights into: * How to identify when your organization is ready for a "taxonomy remodel" * The stages of a "taxonomy remodel" * How to navigate system limitations when upgrading to new tools isn't in scope * How to continuously secure stakeholder buy-in and prioritize end user benefits Slide deck.

Enterprise Knowledge
Jun 8th, 2026
Enterprise Knowledge named Washington Business Journal (WBJ) Best place to Work 2026.

Enterprise Knowledge named Washington Business Journal (WBJ) Best place to Work 2026. June 8, 2026 Enterprise Knowledge is proud to announce it has once again been listed as one of the Washington Business Journal's Best Places to Work for 2026. The award, given to EK based on an anonymous employee survey, highlights EK's collaborative culture, prioritization of executive mentorship, and unique employee benefits, including a "lifelong learning" fund and company-funded retreats. This year, EK was ranked at #29 in the medium business category. "Amongst all of our recognition, these awards are the most meaningful to me as they are driven by how our own employees feel about their work," said EK CEO Zach Wahl. "And by the way, we're hiring!" This recognition for EK follows similar awards, including Inc. Magazine's Best Workplaces, KM World's 100 Companies That Matter in KM and AI Trailblazers, and as one of six New Suppliers to Honda recognized for outstanding performance during the past year.

Enterprise Knowledge
Feb 9th, 2026
Making Search Less Taxing: Leveraging Semantics and Keywords in Hybrid Search

February 9, 2026 Explore how Tax Analysts, the nonpartisan nonprofit behind Tax Notes, upgraded its search functionality to help subscribers both easily find information and discover unexpected, relevant content. At KMWorld 2025, Chris Marino of Enterprise Knowledge partnered with Jaime Martin, Senior Product Manager and Business Analyst at Tax Analysts, to discuss how semantics and keyword search strategies can improve search experiences for users. Users of a search platform expressed challenges with findability and usability. Martin and Marino's solution improved flexibility and precision of search results, improving users' experiences with the tool. Session attendees learned important takeaways, such as: * Keyword search remains relevant in modern search systems, excelling at exact matches and specific terminology. * Vector search captures semantic meaning and context, leading to more comprehensive results that satisfy both precise and conceptual queries. * By combining keyword and semantic methods, hybrid search allows for improved recall and precision. Slide deck.

Enterprise Knowledge
Jun 13th, 2025
Honda Honors Enterprise Knowledge for Outstanding Performance

In addition to this recognition from Honda, EK was recently named one of the Top 100 Companies in Knowledge Management, and the KMWorld AI 100 for leadership in Artificial Intelligence.