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Data Taxonomy Jobs (NOW HIRING)

$57.75 - $74.25/hr

Description The role of the Data Architect/Data Services Specialistis to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Data Architect/Data Services

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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.
More about Data Taxonomy jobs
What cities are hiring for Data Taxonomy jobs? Cities with the most Data Taxonomy job openings:
What states have the most Data Taxonomy jobs? States with the most job openings for Data Taxonomy jobs include:
Infographic showing various Data Taxonomy job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
IT Data Governance Analyst (Hybrid)

IT Data Governance Analyst (Hybrid)

Eversource Energy

Berlin, CT • On-site

Full-time

Posted 7 days ago


Eversource Energy rating

8.8

Company rating: 8.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

6th of 52 rated energy and utility


Job description

Eversource will not offer immigration-related sponsorship for this position (e.g., H-1B, O-1, J-1, TN, E-3, etc.). Applicants requiring visa sponsorship to start employment with Eversource will not be considered.
Eversource supports work-life balance by offering hybrid schedules for certain roles. Eligibility is based on job responsibilities, operational needs, nature of work and team dynamics. Current guidelines require employees to work at least three days in the office, including Tuesdays and Wednesdays, with the third day set by the employee and supervisor based on department needs. These guidelines apply to roles approved for remote work and are subject to change, based on managerial discretion and work performance. All applicants must be able to work up to five days in the office if needed (for example: emergencies, training, or other business needs) or should the policy change.
The IT Analyst, Data Governance supports the IT Data Governance and Information Management Program by working directly with business units to understand how unstructured data is created, used, stored, shared, retained, and secured. This role acts as the bridge between business stakeholders and the technical governance/protection teams, helping translate operational needs into well-defined requirements, use cases, taxonomies, control needs, and sustainable business processes.
The analyst will engage with business data owners and staff to identify information management gaps, clarify data usage patterns, document business requirements, support taxonomy and classification discussions, and recommend practical solutions for repositories, information handling, and control adoption. The role is aligned with the individual contributor/lead template structure and is intended for a candidate who is strong in analysis, stakeholder engagement, documentation, and problem-solving within a business-facing IT environment.
Essential Functions:
  • Partner with business units to understand the purpose, usage, storage, access, retention, and sharing patterns of unstructured data across collaboration platforms, file shares, and repositories.
  • Conduct interviews, workshops, assessments, and discovery sessions with business data owners and subject matter experts to identify current-state practices and gaps.
  • Elicit, document, and manage business requirements related to records identification, retention, sensitivity, access, sharing controls, business purpose, disposal, and information handling.
  • Ask for appropriate data taxonomy, labeling, lifecycle, ownership, and control questions to ensure business requirements are complete and actionable.
  • Translate business needs into user stories, requirement documents, process flows, decision trees, and implementation recommendations for governance and technical teams.
  • Facilitate conversations around Microsoft Purview-related controls in business-friendly language, including labeling, access constraints, retention approaches, and protection behaviors.
  • Identify opportunities to improve repository strategy and recommend more effective or modernized solutions where legacy approaches no longer align with current business needs or risk expectations.
  • Support remediation planning by helping business areas prioritize cleanup, classification, retention alignment, and governance improvements.
  • Develop process documentation, communications materials, FAQs, stakeholder guides, and business-facing training support.
  • Assist in preparation for data discovery, audit support, cyber response readiness, tabletop scenarios, and control validation activities.
  • Monitor progress of business workstreams and support issue identification, dependency tracking, and follow-up actions.
  • Maintain organized documentation and evidence to support governance, auditability, and repeatable process execution.

Technical Knowledge/Skill/Education/Licenses/Certifications:
Technical Knowledge/Skill
  • Strong business analysis and requirement writing skills.
  • Working knowledge of data governance, records retention, information classification, unstructured data management, repository strategy, and information protection concepts.
  • Ability to facilitate business discussions and ask probing questions to clarify ownership, purpose, access, use and sensitivity information.
  • Familiarity with Microsoft Purview concepts and the ability to explain governance and protection controls to non-technical stakeholders.
  • Strong analytical skills for organizing and summarizing complex information.
  • Strong communication, facilitation, and presentation skills.
  • Ability to create process documentation. Flowcharts, RACI models and business requirements artifacts.
  • Skilled in Excel, PowerPoint, Word, SharePoint, and related collaboration/documentation tools.

Education:
  • Bachelor's degree in Business, Information Systems, Information Management, Library/Records Science, Compliance, or related discipline; or equivalent experience.

Experience:
  • Three (3) to five (5) years of relevant experience in business analysis, data governance, compliance, records/information management, process improvement, or related roles.
  • Experience working across departments gathering requirements and support organizational change.
  • Experience with information handling, repository redesign, taxonomy, or content management initiatives preferred.

Licenses & Certifications:
  • Business Analysis, Microsoft, Information Governance, Privacy, or Records Management certifications are a plus.

Working Conditions:
  • Must be available to work emergency restoration assignment as required.
  • Must be available to travel between MA/CT/NH as necessary.

#LI-ES3
#LI-Hybrid
#corpajd
Competencies:
Build trusting relationships
Manage and develop people
Foster teamwork and cross-functional collaboration
Lead change
Communicate strategic vision
Create an engaged workforce
Focus on the customer
Take ownership & accountability
Compensation and Benefits:
Eversource offers a competitive total rewards program. Check out our careers site for an overview of our benefits programs. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:
$95,130.00-$105,700.00
Worker Type:
Regular
Number of Openings:
1
Emergency Response:
Responding to emergency situations to meet customers' needs is part of every employee's role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.
EEO Statement:
Eversource Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.
VEVRRA Federal Contractor

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