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Data Taxonomy Jobs in Michigan (NOW HIRING)

Hearst

Heavy-Duty Labor Content Analyst

Troy, MI · On-site

Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification. * Quality Assurance: Execute ...

Hearst

Heavy-Duty Labor Content Analyst

Troy, MI · On-site

Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification. * Quality Assurance: Execute ...

General Motors

Technical Product Operations Manager

Warren, MI · On-site

$156K - $181K/yr

... data through close collaboration with simulation partners. * Identifygaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows. * Support the ...

Carhartt

Digital Site Merchandiser

Dearborn, MI · On-site

$15.75 - $18.50/hr

Maintain product data, imagery, taxonomy, pricing, and merchandising integrity * Own merchandising across navigation, search, filters, facets, and product listing experiences * Align product ...

Kendall Group

Total Quality Leader

Wyoming, MI · On-site

... defect data is captured and attributed accurately, and provides reporting that helps leaders ... Define and maintain the defect taxonomy, establishing what constitutes a quality failure and ...

Kendall Group

Total Quality Leader

Portage, MI · On-site

... defect data is captured and attributed accurately, and provides reporting that helps leaders ... Define and maintain the defect taxonomy, establishing what constitutes a quality failure and ...

Kendall Group

Total Quality Leader

Wyoming, MI · On-site

$90 - $130/hr

... defect data is captured and attributed accurately, and provides reporting that helps leaders ... Define and maintain the defect taxonomy, establishing what constitutes a quality failure and ...

Rhino Tool House

Internal Project Manager

Livonia, MI · On-site

$80K - $95K/yr

Train and coach team members on Jira best practices; establish and enforce consistent taxonomy ... Comfort with data: ability to interpret reports and contribute to data-driven project decisions.

VML

Senior Program Director

Detroit, MI · On-site

$114K - $115K/yr

The work spans content production, asset lifecycle management, taxonomy, metadata, DAM modernization, AI-enabled production, customer data connectivity, decisioning, workflow, governance, measurement ...

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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 Michigan?

For Data Taxonomy jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Taxonomy jobs in Michigan look for?

The top searched job categories for Data Taxonomy jobs in Michigan are:

What cities in Michigan are hiring for Data Taxonomy jobs?

Cities in Michigan with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Heavy-Duty Labor Content Analyst

Hearst

Troy, MI • On-site

Full-time

Posted 18 days ago

Hearst rating

6.6

Company rating: 6.6 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

57th of 78 rated media

Job description

This role is responsible for developing estimated work times using current MOTOR methodology and applying them to applicable medium and heavy-duty vehicle configurations. The analyst reviews and interprets OEM service information, enters labor operation data into multiple systems, validates vehicle applications and estimated work times, and performs quality assurance to ensure published labor content meets product and end-user expectations.

Qualifications

  • Three or more years of experience as a technician in a medium- and heavy-duty vehicle environment, class 7-8 experience is strongly preferred.

  • Self-motivated, results-oriented team player with strong attention to detail.

  • Strong written and verbal communication skills.

  • Ability to work with little or no supervision in a remote or offsite capacity.

  • Ability to work to stringent deadlines while maintaining work quality and following established office policies, procedures, and systems.

Skills and Attributes

  • Three or more years of experience developing labor times for an OEM or aftermarket company preferred.

  • Working knowledge of Microsoft Office applications, including Excel, Word, Access, and Outlook.

  • Strong knowledge of vehicle parts, systems, operations, and component relationships, particularly for medium- and heavy-duty vehicles.

  • ASE certifications preferred.

  • Database and data-entry experience preferred.

  • Technical degree or certificate in automotive or truck repair preferred.

  • Labor Time Development: Develop estimated work times following current MOTOR methodology and apply them to applicable medium and heavy-duty vehicle configurations.

  • OEM Service & Repair Research: Review OEM information regarding the service and repair of supported vehicles and labor operations.

  • Technical Content Interpretation: Organize and interpret OEM and aftermarket content as necessary to support accurate labor operation development.

  • Vehicle Application Verification: Verify vehicle information related to researched labor operations using sources such as AutoCare VCdb, OEM websites, and additional data as required.

  • Labor Data Entry: Enter and maintain labor operation data in multiple systems and formats, ensuring accurate and consistent application of content.

  • Estimated Work Time Validation: Research and verify the correctness of estimated work times and make revisions in accordance with established methodology.

  • Taxonomy Classification: Classify labor operations within applicable taxonomies to support consistent search, organization, and product use.

  • Customer Concern Resolution: Respond to customer concerns related to labor operation data, including vehicle application questions, estimated work-time verification, and taxonomy classification.

  • Quality Assurance: Execute quality assurance processes to ensure published labor content meets MOTOR product requirements and end-user expectations.

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