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Data Taxonomy Jobs in Raleigh, NC (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

DE designing complex dimensional models using ER Studio Data Architect with appropriate company taxonomy including Client/Customer, Account, Product and Supply Chain; and creating conceptual, logical ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

DE designing complex dimensional models using ER Studio Data Architect with appropriate company taxonomy including Client/Customer, Account, Product and Supply Chain; and creating conceptual, logical ...

CYNET SYSTEMS

Splunk Enterprise Security Expert

Cary, NC · On-site

$47 - $52/hr

Manage data model acceleration strategies across all production data models, monitoring for search load and coverage gaps. * Define and enforce source-type and index taxonomy standards to optimize ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Raleigh, NC

Data Taxonomy information

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 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 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 taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

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 skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Manager, Merchandising Data Quality

Advance Auto Parts

Raleigh, NC • On-site, Remote

Full-time

Posted 20 days ago

Job description

Job Description

Job Summary:The Manager of Merchandising Taxonomy & Attribution is the primary custodian of enterprise SKU and vendor data integrity and domain policy. Leading a team of Data Domain Governance Leads and Data Audit Specialists, youare responsible forthe policy enforcement and rigorous maintenance of the product hierarchy, attribute framework, and digital assets. This role ensures that all SKU, category, and vendor dataisgoverned by clear standards andvalidatedfor accuracy, enabling a seamless downstream data syndication across all retail, professional, and e-commerce channels.

Key Responsibilities:

  • Team Leadership:Leada dual-function team of Domain Governance Leads (policy/standards) and Data Audit Specialists (execution/validation) tomaintainagoldstandard for enterpriseSKU and vendordata.

  • Domain Policy Enforcement:Supportand enforce clear data governance policies for SKU and vendor domains, ensuring all new and existing data meets strict enterprise requirements.

  • Rigorous Data Auditing:Oversee comprehensive audit programs tovalidatethe accuracy of product attributes and the integrity of digital asset associations (images, videos, etc.).Ensure data syndicates properlydownstreamacross all systems and sales channels.

  • Hierarchy Management:Maintainand evolve themerchandisingproduct hierarchy and category structures to align with Merchandising strategies.

  • Vendor Data Governance:Partner with Supplier Services to ensure vendor-provided data and assets are compliant with internal standards before entering the production ecosystem.

  • Continuous Improvement:Use audit results toidentifysystemic data defects and partner withappropriate technologyteamsto implement root-cause fixes and workflow enhancements.

Qualifications:

  • Proven experience in enforcing data policies and managing complex data audit cycles in a high-volume retail environment.

  • Understandinghow master data feeds into downstream channels (PIM, DAM, E-commerce) and the impact of data quality on those systems.

  • Ability to lead a team with varying levels of specialization, from policy-driven domain leads to detail-oriented audit specialists.

  • Expertisein managing product hierarchies thatsupport merchandisingcategorization.

Certifications, Experience, and Education:

  • Certifications:None; CDMP (Certified Data Management Professional) or DGSP (Data Governance Stewardship Professional) is highly preferred.

  • Experience:5+ years in Data Governance, MDM, or Taxonomy Management; 2+ years of experience leading a team of specialists or leads.

  • Education:Bachelor's degree in Data Science, Information Management, Business Administration, ora relatedfield;OR relevantwork-relatedexperience.

Location & Work Availability:

This position isHybrid (4days in office,1day remote),based at our corporate headquarters inRaleigh, North Carolina.

Benefits Summary:

We believe in supporting our Team Members and those they love through comprehensive health & wellness benefits. Learn more here:https://jobs.advanceautoparts.com/us/en/benefits

Company Overview:

Advance Auto Parts, Inc.isa leading automotive aftermarket parts provider that serves both professionalinstallerand do-it-yourself customers. As of January 3, 2026, Advanceoperated4,305 stores primarily within the United States, withadditionallocations in Canada, PuertoRicoand the U.S. Virgin Islands. The Company also served 809 independently owned Carquest branded stores across these locations in addition to Mexico and various Caribbean islands.Additionalinformation about Advance, including employment opportunities, customer services, and online shopping for parts, accessories and other offerings can be found atwww.AdvanceAutoParts.com.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state, or local protected class.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.

California Residents click below for Privacy Notice:

https://jobs.advanceautoparts.com/us/en/disclosures
Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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