AI and Data Product Analyst

Enterprise Knowledge, LLC; Arlington (VA); Hybrid; USD 95,000 - 120,000; Full time

Job summary

Enterprise Knowledge (EK) is hiring a full-time AI and Data Product Analyst to join our Semantic Engineering and AI Practice in Arlington, VA. You will help clients organize enterprise data to power next-generation AI solutions, leveraging knowledge management concepts.

This role requires 2–5 years of experience and strong analytical and communication skills. You’ll translate business needs into actionable plans, support design and implementation of knowledge and data management solutions, and

Qualifications

• 2–5 years of relevant experience in consulting, data, or technology environments.
• Bachelor’s degree in a relevant field (e.g., Information Science, Data Analytics, Business, CS).
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Interest in knowledge management, data, AI, and semantic technologies.

Responsibilities

• Support the design and implementation of enterprise knowledge, data management, and AI solutions.
• Assist in gathering and analyzing client requirements, business processes, and system landscapes.
• Contribute to the development of solution recommendations, documentation, and deliverables.
• Support workshops, stakeholder interviews, and working sessions to define client needs and goals.
• Assist in documenting semantic models, taxonomies, ontologies, and related solutions.
• Collaborate with cross-functional teams to support milestones in an agile environment.
• Develop client-facing materials including presentations, reports, and training documents.
• Participate in client meetings and internal discussions, providing insights and notes.
• Support testing, implementation, and validation of solutions to meet client requirements.
• Contribute to internal initiatives and knowledge sharing within the practice.
• Continuously develop consulting, communication, and technical skills.

Skills

Analytical thinking

Written and verbal communication

Independent & collaborative work

Attention to detail

Interest in AI & knowledge management

Education

Bachelor’s degree in Information Science or related field

Tools

Excel

PowerPoint

JIRA

Confluence

Job description

Description

Enterprise Knowledge (EK) is hiring a full-time AI and Data Product Analyst to join our growing Semantic Engineering and AI Practice. In this role, you will help our clients organize their enterprise data to make it ready for next-generation AI solutions. While experience with semantic technologies (taxonomies, ontologies, metadata) is a major plus, it is not required— we are looking for a sharp, analytical thinker with 2–5 years of experience who is eager to learn how data structure powers modern AI. You’ll work with Fortune 500 and global clients to develop strategies, guide implementation, and apply agile principles to translate business needs into clear, actionable plans.

As with all of our positions, we seek independent thinkers with exceptional written and oral communication skills. This position demands a deep understanding of business strategy and development, experience with knowledge & data management technology solutions, business analysis, and consulting skills.

As an EKer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.

Responsibilities Will Include

• Support the design and implementation of enterprise knowledge, data management, and AI solutions
• Assist in gathering and analyzing client requirements, business processes, and system landscapes
• Contribute to the development of solution recommendations, documentation, and deliverables
• Support workshops, stakeholder interviews, and working sessions to help 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 materials including 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

Requirements

As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.

This hybrid role requires that you live within a comfortable, commutable distance of our Arlington, VA office and be willing to be on-site 3 days a week.

Required Skills And Experience

• 2 - 5 years of relevant experience (internships, academic projects, or early professional experience in consulting, data, or technology environments)
• Bachelor’s degree in a relevant field (e.g., Information Science, Data Analytics, Business, Computer Science, or similar)
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to work both independently and collaboratively in a fast-paced environment
• Strong attention to detail and organizational skills
• Interest in knowledge management, data, AI, and semantic technologies

Preferred Skills And Experience

• Exposure to knowledge management, data management, or semantic technologies (through coursework, internships, or projects)
• Familiarity with tools such as 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 (academic or practical)
• Interest in consulting, facilitation, or client-facing work

Salary Information

EK considers a broad range of factors in considering employee salary, including a candidate’s skills, experience, education, certifications, past successes, and qualifications. The salary range for this role is $95,000 to $120,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications.

Data Privacy Notice

Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.

We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.

You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.

By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at [e-mail].