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Data Taxonomy Jobs in Tennessee (NOW HIRING)

Mars

Content and Data Systems Coordinator

Franklin, TN · On-site

Demonstrated experience maintaining taxonomy, metadata, and rights management at scale * Experience supporting users across creative, brand, and agency teams * Working knowledge of work management ...

Growve

Data Management Director

Nashville, TN · On-site

Own and continuously enhance the Salsify PIM environment, including product taxonomy, attributes ... Ensure seamless data flow across Microsoft Dynamics Business Central, Avectous WMS, Salsify ...

Growve

Data Management Director

Nashville, TN · On-site

Own and continuously enhance the Salsify PIM environment, including product taxonomy, attributes ... Ensure seamless data flow across Microsoft Dynamics Business Central, Avectous WMS, Salsify ...

Growve

Data Management Director

Nashville, TN · On-site

Own and continuously enhance the Salsify PIM environment, including product taxonomy, attributes ... Ensure seamless data flow across Microsoft Dynamics Business Central, Avectous WMS, Salsify ...

DPR Construction

Item Management Assistant

Nashville, TN · On-site

$40K - $46K/yr

Researchesandvalidatesitem attributes, taxonomy categories, and required fields to ensure data completeness and consistent nomenclature. * Maps items across internal entities and coordinates ...

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Data Taxonomy information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Data Science Director, or Chief Data Officer, which typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can command salaries exceeding $150,000 annually, depending on the industry and location.

How to get a job in taxonomy?

To get a job in taxonomy, develop expertise in data organization, classification, and metadata standards such as Dublin Core or schema.org. Gaining skills in data management tools, understanding industry-specific vocabularies, and obtaining relevant certifications can improve employability. Experience with data analysis and information architecture is also valuable for roles in taxonomy development and management.

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 data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, making it easier to manage, search, and analyze. Data professionals often use standards and tools like metadata and ontologies to develop effective taxonomies for data governance and integration.

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.

What do you need to be a data taxonomy specialist?

A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and taxonomy development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Experience with data governance and collaboration with cross-functional teams also supports success in this role.

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 Tennessee? For Data Taxonomy jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Tennessee look for? The top searched job categories for Data Taxonomy jobs in Tennessee are:
What cities in Tennessee are hiring for Data Taxonomy jobs? Cities in Tennessee with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Content and Data Systems Coordinator

Mars, Incorporated

Franklin, TN • On-site

Full-time

Posted 14 days ago

Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

122nd of 434 rated food and drinks producers

Job description

Job Description:
Content and Data Systems Coordinator
Franklin, TN
On-site
The Content and Data Systems Coordinator is a key part of the transformational journey to data driven brand building with the aim to transform the way we connect with the pet parents and build relationships with them at the heart of everything we do.
The infrastructure layer of the Content Operations & Production function keeps the platforms, integrations, metadata, and data hygiene that underpin the entire function running cleanly. The role nobody notices when it's working - and everybody notices when it isn't. Where the Director sets standards and the MarTech & Workflow Manager design the systems, the coordinator runs the day-to-day operational discipline that makes those systems trustworthy
What are we looking for?
  • Bachelor or Associate degree required
  • 2+ years in creative operations, digital asset management, marketing operations, or content systems administration; brand-side or agency-side experience valuable
  • Hands-on experience with Salsify or a comparable Product Information Management (PIM) platform is preferred. Experience in digital merchandising or managing product content, taxonomy, and syndication within an eCommerce environment is also highly valued.
  • CPG experience valuable - multi-brand portfolio environments build the discipline this role requires
  • Hands-on experience administering a DAM (Aprimo, Frontify, Adobe AEM, or comparable)
  • Demonstrated experience maintaining taxonomy, metadata, and rights management at scale
  • Experience supporting users across creative, brand, and agency teams
  • Working knowledge of work management and creative review platform

What would be your key responsibilities?
DAM Administration & Metadata Discipline
  • Owns day-to-day operation of the Digital Asset Management system: user access, taxonomy governance, metadata standards, folder structures, rights and usage fields
  • Enforces consistent tagging, naming conventions, and structured metadata so assets are findable, reusable, and reportable

Product Data & PIM Management
  • Manage and maintain product data within the Product Information Management (PIM) system, ensuring it serves as the source of truth for active products and in-market assortment. Create, update, and optimize product attributes and metadata to ensure accurate, complete, and consistent product information.
  • Own the ongoing administration of the PIM, including creating new fields, managing product attributes, and maintaining data governance standards to support evolving business needs.
  • Partner with Brand.com and Retail digital merchandising teams to ensure product content is accurately maintained in the PIM and effectively delivered to product detail pages (PDPs) across digital channels.

Data Hygiene & System Integrity
  • Runs ongoing cleanup of duplicate assets, broken links, expired rights, and stale records; maintains the integrity that analytics, reporting, and reuse all depend on

Rights & Usage Tracking
  • Owns the operational layer of talent, music, image, and footage rights: expiration dates, usage limits, renewal flags
  • Partners with legal and Content Operations Managers when rights questions need escalation

System Integrations
  • Coordinates the data flow between DAM, PIM, work management tools, brand portals, and downstream channel systems; flags breaks and partners with the MarTech & Workflow Manager and IT on fixes

User Support & Enablement
  • Serves as the first line of support for Managers, brand teams, and agency partners using content systems; trains new users and maintains documentation

Reporting Support
  • Pulls standardized reports from content systems; partners with the Analyst on data extracts and source validation

Cross-Functional Partnership
  • Day-to-day systems partner to Content Operations Managers, Digital Content Specialists, the Analyst, and the Product Owner; protects the standards the function depends on

What can you expect from Mars?
  • Opportunity to bring your pet to work.
  • Commitment to create a safe, healthy, and sustainable world for our partners and the communities in which we operate.
  • Commitment to make A Better World For Pets™ a world where they're healthy, happy and welcome
  • Commitment to our consumers and focus on positively impacting the planet and the population.

This role is based in Franklin, TN with regular in-office collaboration expected. Flexibility is a key enabler-empowering associates to make choices that support both business outcomes and personal needs, including occasional remote work.
Mars does not sponsor visas for this role.
This position is not eligible for relocation benefits.
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