2 - 5 years of relevant experience in consulting, data, or technology environments
Bachelor's degree in Information Science, Data Analytics, Business, Computer Science, or similar
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
Ability to work independently and collaboratively
Strong attention to detail and organizational skills
Interest in knowledge management, data, AI, and semantic technologies
Responsibilities
Support the design and implementation of enterprise knowledge and AI solutions
Gather and analyze client requirements and business processes
Develop solution recommendations, documentation, and deliverables
Facilitate workshops and stakeholder interviews to define project goals
Interpret and document semantic models and related solutions
Collaborate with teams to meet project milestones in an agile setting
Create client-facing materials like presentations and reports
Participate in client meetings, contributing insights and notes
Support testing and implementation of solutions to align with client requirements
Contribute to internal initiatives and knowledge sharing
Benefits
Hybrid work environment with 3 days on-site in Arlington, VA
Opportunity to develop consulting, communication, and technical skills
Engagement with cross-functional teams on innovative projects
Access to professional development and internal initiatives
Collaboration with experienced professionals in the field
Full Job Description
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
This hybrid role requires that you live within a comfortable commutable distance of our Arlington, VA office and that you are 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. A range for a starting pay for this role is $95,000 to $135,000 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.
