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Data Taxonomy Jobs in Raleigh, NC (NOW HIRING)

Bandwidth

AI Knowledge Manager

Raleigh, NC · On-site

Mine Intercom ticket data and AI failure logs to proactively identify knowledge gaps, outdated ... Design and maintain the knowledge taxonomy across internal and external content -- including ...

Bandwidth

AI Knowledge Manager

Raleigh, NC · On-site

Mine Intercom ticket data and AI failure logs to proactively identify knowledge gaps, outdated ... Design and maintain the knowledge taxonomy across internal and external content - including ...

Bandwidth

AI Knowledge Manager

Raleigh, NC

Mine Intercom ticket data and AI failure logs to proactively identify knowledge gaps, outdated ... Design and maintain the knowledge taxonomy across internal and external content - including ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Raleigh, NC

Data Taxonomy information

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, enabling easier data management, retrieval, and analysis. Data professionals often use standards, metadata, and tools like data modeling to develop and maintain effective taxonomies.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomy?

To become a data taxonomy specialist, develop skills in data management, classification, and metadata standards, often through degrees in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or SKOS can enhance qualifications; certifications in data management or taxonomy design are also beneficial.

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

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in Raleigh, NC? For Data Taxonomy jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Raleigh, NC look for? The top searched job categories for Data Taxonomy jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Taxonomy jobs? Cities near Raleigh, NC with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.
Technical Lead/Architect with DataCap, IBM Content Manager

Technical Lead/Architect with DataCap, IBM Content Manager

360 IT Professionals

Raleigh, NC

Contractor

Posted 29 days ago

Job description

Company Description

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement.

Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. 

Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us.

We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change.

Job Description

Description (including, but not limited to):

This individual will be responsible for all architectural requirements and artifacts related to the NCDOT Enterprise Document and Imaging Management (EDIM) project and multiple other DMV document imaging initiatives.

The applicant should possess strong knowledge and experience in integrating and aligning business capabilities, business processes, and content management. The applicant should also have experience designing and delivering solutions within an IBM environment, specifically with IBM Content Manager 8, IBM DataCap, and EMC Captiva InputAccel solutions.

Prior experiences of the applicant should demonstrate an ability to directly produce architectural artifacts specifically related to data & metadata analysis to support a focused search solution.

This individual will be responsible for but not limited to the following:

Managing the architecture requirements of the NCDOT Enterprise Document and Imaging Management (EDIM) project while working with the project team.

Streamlining paper document processes and creating electronic records and content management processes across multiple capabilities at DMV.

Interact with the business and business analysts to gather relevant requirements for processes and content creation along with the associated metadata.

Maintaining a Content Map showing the relationship between capabilities, processes and content and assist with the prioritization and ingestion of content into the DMV Content Management System (Content Manager 8).

Refine enterprise metadata taxonomy and metadata model with additional metadata clusters.

Implementing a Repeatable Solution Delivery Methodology to support multiple content releases.

System design to include analysis, design and configuration of software components to support the DMV Content Management System and information (data) architectures associated with iterative content releases.

Work with application teams on understanding line of business systems as data sources for metadata.

Collaborate with the Enterprise Architectural team and other disciplines to ensure that DMV Content Management System aligns with the departmental Content Management capabilities.

Additional Information

Thanks and Regards,

Harry Singh 

510-254-3300 Ext: 190

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