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Data Taxonomy Jobs in Tennessee (NOW HIRING)

TC Energy

IOTx Data Analyst

Thompsons Station, TN · On-site

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Develop taxonomy, naming conventions, metadata standards, and document management practices.

New

Tcenergy

IOTx Data Analyst

Thompsons Station, TN · Hybrid

The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads ... Develop taxonomy, naming conventions, metadata standards, and document management practices.

New

Revecore

Senior Director, Data Architecture

Franklin, TN · Remote

$64.75 - $86.75/hr

You will report to the SVP of AI, Data & Data Science and operate as the senior-most technical authority on data standards, taxonomy, and governance across the enterprise. What You'll Do * Establish ...

Covenant Health

STUDENT NURSE ASSOCIATE

Louisville, TN · On-site

Can formulate nursing diagnosis (using NANDA taxonomy) and uses standard DSM IV classifications of mental disorders to express conclusions supported by the collection of data. * Develops treatment ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Tennessee

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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

IOTx Data Analyst

TC Energy

Thompsons Station, TN • On-site

Full-time

Posted 3 days ago

New

Job description

Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!
At TC Energy, we are proud to connect the world to the energy it needs. Guided by our values of safety in every step, personal accountability, one team and active learning, we deliver the critical energy that North America and the world rely on while balancing reliability, affordability and sustainability.
The Opportunity
We are seeking a Data Analyst who will serve as the AI Productivity Department's subject matter expert for data readiness, analytics, reporting, and knowledge management. This role ensures that AI tools, Copilot solutions, automation workflows, and business intelligence products are built upon accurate, secure, trusted, and well-governed data sources.
The Data Analyst works closely with AI Product Specialist, Automation Leads, Governance Leads, business stakeholders, and operational subject matter experts to transform business information into structured, accessible, and actionable data assets that support AI-enabled productivity improvements across USGO. This role is responsible for data quality, metadata standards, reporting development, taxonomy management, knowledge repository optimization, and business performance measurement.
What you'll do
Data Readiness & Governance
  • Lead data discovery and assessment activities for AI initiatives.
  • Evaluate data quality, completeness, accessibility, and business relevance.
  • Develop and maintain data governance standards, metadata requirements, and information management practices.
  • Ensure data sources meet security, compliance, privacy, and retention requirements.
  • Work with business units to identify authoritative data sources and eliminate duplicate or outdated content.
  • Support auditability and traceability of AI-enabled solutions.

Knowledge Management & Enterprise Search
  • Improve the quality, structure, and findability of information across SharePoint, Teams, OneDrive, and approved business repositories.
  • Develop taxonomy, naming conventions, metadata standards, and document management practices.
  • Establish and maintain approved knowledge sources for AI tools and Copilot agents.
  • Partner with business teams to improve search relevance and information accessibility.

Reporting & Analytics
  • Design and maintain operational dashboards and KPI reporting.
  • Develop reports and analytics products supporting AI adoption, productivity measurement, safety, operations, and business performance.
  • Participate in executive-level reporting demonstrating value realization and return on investment (ROI).
  • Identify trends, opportunities, and process bottlenecks using data analysis techniques.

AI Lifecycle Support
  • Support Data Understanding and Data Preparation phases of the AI Tools Lifecycle.
  • Prepare datasets and validate data readiness before AI solutions move into development.
  • Partner with AI Product Managers to establish baseline metrics and success measures.
  • Support evaluation activities by measuring adoption, utilization, productivity improvements, and business outcomes.
  • Maintain documentation supporting AI solution governance and operational readiness.

Business Partnership & Continuous Improvement
  • Collaborate with Operations, Safety, Projects, Finance, Engineering, and Field Leadership teams.
  • Translate operational challenges into measurable data requirements.
  • Support intake and assessment of new AI opportunities.
  • Identify automation, reporting, and process improvement opportunities.
  • Serve as a trusted advisor regarding data strategy.

Minimum Qualifications
  • Bachelor's degree in engineering, computer science, or data science from a four-year ABET accredited university.
  • Recent graduate with no more than two years of relevant experience related to data quality, analytics, and reporting

Preferred Qualifications
  • Previous natural gas industry experience or in similar industries.
  • Artificial intelligence training and or experience.
  • Engineer In Training (EIT) qualification or willingness to obtain EIT.

This position requires candidates to:
  • Have and maintain a valid driver's license and provide a driver's abstract (record) for review

To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico. #LI-Hybrid
About our business
We are a leader in North American energy infrastructure, spanning Canada, the U.S. and Mexico. Every day, our dedicated team proudly connects the world to the energy it needs-moving over 30 per cent of the cleaner-burning natural gas used across the continent. Complemented by strategic ownership and low-risk investments in power generation, our infrastructure fuels industries and generates affordable, reliable and sustainable power across North America, while enabling LNG exports to global markets.
TC Energy is an equal opportunity employer and participates in the E-Verify program supervised by the US government. We welcome applications from all qualified individuals regardless of race, religion, age, sex, color, national origin, sexual orientation, gender identity, veteran status, or disability. We are also committed to providing accommodations throughout the recruitment process. Applicants requiring accommodations or accessible formats are encouraged to contact us at careers@tcenergy.com for support.
All applicants must have legal authorization to work in the country where the position is based, without restrictions. Background screening is required for all positions, which may include criminal and/or credit checks. Offers may be extended at a different level or job title that best aligns with the successful candidate's qualifications.
Learn more
Visit us at TCEnergy.com and connect with us on our social medial channels for our latest news, employee stories, community activities, and other updates.
Thank you for considering TC Energy in your career journey.

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