1

Metadata Taxonomy Jobs in Hawaii (NOW HIRING)

Metadata, taxonomy, and content organization * Military or defense operational awareness * Collaboration with technical and non-technical stakeholders * Documentation and user support * Working ...

Metadata Taxonomy information

See Hawaii salary details

$8

$16

$30

How much do metadata taxonomy jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for metadata taxonomy in Hawaii is $16.35, according to ZipRecruiter salary data. Most workers in this role earn between $12.26 and $18.22 per hour, depending on experience, location, and employer.

What is the difference between Metadata Taxonomy vs Metadata Specialist?

AspectMetadata TaxonomyMetadata Specialist
Primary RoleDevelops and organizes classification systems for dataImplements and manages metadata standards and schemas
Required SkillsKnowledge of taxonomy development, data organizationExpertise in metadata standards, data management tools
Work EnvironmentData management teams, information architectureData governance, digital asset management
Common UsageCreating taxonomies for content categorizationApplying metadata to improve data retrieval

The main difference is that Metadata Taxonomy focuses on designing classification systems for data, while Metadata Specialist implements and manages metadata standards. Both roles are essential in data management but serve different functions within the data lifecycle.

What is a metadata taxonomy?

Metadata Taxonomy jobs involve organizing, categorizing, and maintaining structured classification systems (taxonomies) and metadata frameworks to help organizations manage their information efficiently. Professionals in this field develop and implement systems that define how data is described, tagged, and retrieved, ensuring consistency and improving discoverability across digital assets. These roles are crucial in industries like libraries, e-commerce, publishing, and technology, where managing vast amounts of information is essential. Responsibilities may include designing taxonomies, establishing metadata standards, and collaborating with IT and content teams to support information architecture.

What are the key skills and qualifications needed to thrive as a metadata taxonomist, and why are they important?

To thrive as a Metadata Taxonomist, you need a deep understanding of information science, taxonomy design, metadata standards, and often a degree in library science or a related field. Familiarity with taxonomy management tools (such as PoolParty or TopBraid), content management systems, and metadata schemas like Dublin Core or schema.org is typically required. Excellent attention to detail, strong analytical thinking, and effective communication skills help collaborate with stakeholders and ensure consistent data organization. These skills are crucial for creating clear, scalable classification systems that optimize information retrieval and support business objectives.

How does a metadata taxonomy professional typically collaborate with other departments to ensure consistent data classification across an organization?

Metadata Taxonomy professionals frequently work with teams such as IT, content management, product, and data analytics to develop and maintain unified classification systems. They facilitate workshops and meetings to align stakeholders on taxonomy structures, resolve ambiguities, and gather feedback on organizational needs. This collaborative approach ensures that metadata standards are consistently applied, making information easier to find and manage across platforms. Effective communication and cross-functional teamwork are essential aspects of this role.
What are popular job titles related to Metadata Taxonomy jobs in Hawaii? For Metadata Taxonomy jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Metadata Taxonomy jobs in Hawaii look for? The top searched job categories for Metadata Taxonomy jobs in Hawaii are:

Knowledge Systems Integrator

SMX

Aiea, HI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

SMX is seeking a Knowledge Systems Integrator to support government client at Camp Smith. The Knowledge Systems Integrator (KSI) / Knowledge Manager will enable units to leverage emerging AI technologies and integrate them with DOW operational technology (OT) to enhance mission effectiveness. This role is responsible for integrating Knowledge Management practices with SharePoint, Power Platform, Maven Smart System, and other tools used to support military, defense, intelligence, operational, and business process workflows. This role ensures interoperability between advanced analytic tools and current OT systems across air, space, cyber, and Joint operational domains. The KSI leads rapid prototyping, experimentation, and deployment of AI enabled capabilities while applying KM principles to ensure knowledge sharing, adoption, and sustained utility. The Knowledge Systems Integrator helps ensure that organizational knowledge is not only stored, but structured, governed, searchable, reusable, and ready to support AI-enabled workflows.

This position requires a current DoD Top Secret SCI security clearance which requires US citizenship for work on DoD contracts.

This position is full-time onsite in Aiea, Hawaii.

Essential Duties & Responsibilities

  • Design, build, and support AI-integrated systems that improve client workflows and decision-making.
  • Transform operational and business processes into tools that can be integrated into AI-enabled environments.
  • Support Maven Smart System as the primary AI and operational integration platform.
  • Develop AI-enabled workflows that connect organizational knowledge, data, tools, and decision processes.
  • Support the design and development of in-house LLM capabilities trained or turned on approved organizational data, where authorized.
  • Develop retrieval-augmented generation workflows using trusted organizational data sources.
  • Support AI agent workflows that retrieve information, summarize content, call tools, generate draft products, and support human decision-making.
  • Design prompt templates, prompt chains, structured outputs, and reusable AI patterns.
  • Integrate AI systems with cloud environments, APIs, databases, knowledge repositories, dashboards, and workflow tools.
  • Support embedding models, vector search, knowledge retrieval, data ingestion, and AI search capabilities.
  • Develop rapid solution development, prototyping, and fielding of emerging technologies to test and evaluate AI system performance, accuracy, relevance, and usefulness.
  • Work with the AI Integrator and Knowledge Systems Integrator to ensure AI tools are operationally useful, adopted by users, and connected to real client workflows.
  • Support AI governance, human-in-the-loop review, data protection, and auditability.
  • Coordinate with partner organizations, technical teams, and operational stakeholders to ensure AI tools meet SOF operational requirements.
  • Develop training programs, documentation, and knowledge sharing initiatives to optimize adoption of AI enabled tools.
  • Apply KM frameworks to ensure knowledge capture, retention, and continuous improvement within AI enabled operations.

Required Skills & Experience 

The requirements are structured to welcome entry-to-mid-level KMs who are eager to learn, while highly valuing technical capabilities as growth accelerators.
Required Qualifications:

  • Bachelor's degree in Knowledge Management, Information Systems, Computer Science, Business Administration, Intelligence Studies, Military Studies, or related field.
  • 4-6 years of relevant experience; additional experience may substitute for degree.
  • Experience with SharePoint, Microsoft 365, Power Platform, Power Automate, Power Apps, and Power BI.
  • Experience supporting military, defense, intelligence, operations, or business process environments.
  • Ability to manage knowledge repositories, metadata, taxonomy, content lifecycle, and governance.
  • Familiarity with Maven Smart System or Palantir-based platforms preferred.
  • Working knowledge of AI-enabled search, retrieval, automation, and knowledge workflows preferred.
  • Must meet applicable DoD 8140 / DCWF requirements.
  • IAT Level II or IAM Level I equivalent certification preferred.
  • Experience: 1+ years of experience administering digital document libraries, corporate wikis, intranets, or collaboration portals (e.g., SharePoint, Confluence, Teams).

Desired Skills & Experience 

Preferred Qualifications:
(Candidates who do not possess these skills will be trained and upskilled in these areas)

  • Knowledge Management practices and principles
  • SharePoint administration or power-user experience
  • Microsoft Power Platform familiarity
  • Requirements gathering & Business process mapping
  • Metadata, taxonomy, and content organization
  • Military or defense operational awareness
  • Collaboration with technical and non-technical stakeholders
  • Documentation and user support
  • Working knowledge of AI-enabled tools
  • Experience with Maven Smart System or Palantir-related tools (Ontology, Pipeline Builder), AWS (S3, Bedrock, Kendra), or advanced Microsoft Azure cloud tools.
  • Experience supporting operational or intelligence organizations
  • Familiarity with AI-assisted search, summarization, or workflow automation
  • Experience with Power Apps, Power Automate, or Power BI
  • Understanding of data structures, dashboards, and AI-ready knowledge bases
  • Experience building knowledge products for military or defense users
  • Data & Semantic Modeling: Basic understanding of vector databases, Knowledge Graphs, or schema architecture.
  • Emerging AI Technologies: Understanding Generative AI, Large Language Models (LLMs), or prompt engineering function.
  • Programming: Foundational exposure to Python or SQL for data sorting and processing.

Certifications Required

Required Baseline (Within 6 months of hire)

  • CompTIA Security+ (or equivalent security credential to validate a foundational understanding of secure networks, data compliance, and access permissions).

Recommended or Preferred (Highly Valued, But Not Required to Apply)

  • Microsoft Certified: Azure AI Engineer Associate (AI-102) (validating cognitive search and AI deployment).
  • Palantir Foundry Certified Data Engineer or Application Developer (confirming ontology construction and application design).
  • AWS Certified AI Practitioner or AWS Machine Learning - Specialty (proving cloud-based AI system awareness).
  • Certified Knowledge Manager (CKM) (demonstrating industry-standard traditional knowledge management principles).

#LI-AP1  #CJPOST