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Data Taxonomy Specialist Jobs (NOW HIRING)

Akima

Data & Geospatial Standards Specialist

Springfield, VA · On-site

$59K - $72K/yr

Suvi, an Akima company, is seeking a Data & Geospatial Standards Specialist for the TSA Enterprise ... taxonomy, metadata schema, information standards, and authoritative/trusted data (ATD) sources. • ...

AuxoAI Inc

MDM Data Specialist

Manhattan, NY · On-site

Role Summary We are seeking an MDM Data Specialist to support master data transformation across ... Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules ...

Upbound

Digital Personalization Specialist

Plano, TX · On-site

Digital Personalization Specialist POSITION OVERVIEW Turn personalization strategy into shipped ... Familiarity with identity/signal governance, event taxonomy, and data-quality practices that power ...

Upbound

Digital Personalization Specialist

Plano, TX

Digital Personalization Specialist POSITION OVERVIEW Turn personalization strategy into shipped ... Familiarity with identity/signal governance, event taxonomy, and data-quality practices that power ...

Upbound

Digital Personalization Specialist

Plano, TX

Digital Personalization Specialist POSITION OVERVIEW Turn personalization strategy into shipped ... Familiarity with identity/signal governance, event taxonomy, and data-quality practices that power ...

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Data Taxonomy Specialist information

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$28K

$72.9K

$88K

How much do data taxonomy specialist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data taxonomy specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a data taxonomy specialist?

A Data Taxonomy Specialist is a professional responsible for designing, implementing, and managing data classification systems within an organization. They create frameworks that organize and categorize data, making it easier to store, retrieve, and analyze information efficiently. Their work ensures data consistency, improves data governance, and facilitates compliance with data regulations. Data Taxonomy Specialists often collaborate with data scientists, data engineers, and business stakeholders to align taxonomy structures with organizational goals.

What are the key skills and qualifications needed to thrive as a data taxonomy specialist?

To thrive as a Data Taxonomy Specialist, you need a solid background in information science, data management, and taxonomy or ontology frameworks, often supported by a degree in library science, information systems, or a related field. Familiarity with metadata standards, data cataloging tools (such as Collibra or Alation), and taxonomy management software is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across teams and ensure consistent data classification. These skills are vital for organizing complex data assets, improving discoverability, and supporting data governance in organizations.

How does a data taxonomy specialist typically collaborate with data engineers and business analysts within an organization?

A Data Taxonomy Specialist plays a central role in bridging the gap between technical teams and business units. They work closely with data engineers to ensure that data classifications, hierarchies, and naming conventions are consistently implemented across databases and systems. At the same time, they collaborate with business analysts to understand reporting needs and user requirements, helping to design taxonomies that make data easier to locate and interpret. This collaboration ensures both data accuracy and usability, directly supporting data governance and strategic business initiatives.

What is the difference between Data Taxonomy Specialist vs Data Analyst?

AspectData Taxonomy SpecialistData Analyst
Primary FocusDeveloping and managing data classification systems and taxonomiesAnalyzing data to generate insights and reports
Skills & CertificationsKnowledge of data management, taxonomy tools, metadata standardsStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData governance teams, information management departmentsBusiness units, analytics teams, reporting departments
Industry UsageUsed in data management, data governance, and information architectureUsed across industries for decision-making and reporting

The Data Taxonomy Specialist focuses on creating and maintaining data classification systems, ensuring data is organized and accessible. In contrast, a Data Analyst interprets data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

How to become a data taxonomy specialist?

To become a data taxonomy specialist, develop expertise 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 industry standards like Dublin Core or ISO can be beneficial, along with certifications such as Certified Data Management Professional (CDMP).
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Data Taxonomy Specialist jobs near you
Infographic showing various Data Taxonomy Specialist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Senior MarTech Specialist, Marketing Analytics, Web Platforms

Jobtailor

London, TX • On-site

$90 - $130/hr

Other

Posted yesterday

New

Job description

Job Responsibilities

• Transforming data generated across the MarTech ecosystem into trusted, actionable insights that support strategic business decisions.
• Owning and evolving the marketing measurement framework, analytics architecture, reporting ecosystem, and web platform roadmap.
• Partnering with Brand, Marketing & External Communications (BMEC), Digital Technology (DT), and business stakeholders to build scalable analytics capabilities.
• Improving data governance, driving web platform innovation, and positioning marketing analytics as a strategic driver of growth.
• Governing data taxonomy, naming conventions, and UTM standards to ensure data consistency and trust across the MarTech ecosystem.
• Rationalizing and optimizing the analytics dashboard and reporting landscape.
• Leading initiatives that improve data quality, reporting accuracy, and insight generation across marketing operations.
• Designing and delivering structured training and enablement programs that improve adoption of BI tools.
• Capturing BMEC business requirements, translating them into technical requirements, and guiding execution through Digital Technology agile delivery processes.
• Managing Drupal CMS technical requirements and ensuring effective alignment between marketing objectives and platform capabilities.
• Driving AI-driven opportunities across analytics, reporting, web operations, and MarTech processes to improve efficiency and accelerate insights.

Requirements
  • 5–7+ years of experience in Marketing Analytics, Marketing Operations, Digital Marketing, Web Operations, Marketing Automation, or related disciplines.
  • Strong hands‑on experience with marketing analytics and business intelligence platforms, including GA4, Power BI, Tableau, Data Studio, or similar tools.
  • Experience designing KPI frameworks, measurement strategies, attribution models, and performance dashboards in complex B2B environments.
  • Experience developing and managing web platform technical roadmaps, CMS environments (preferably Drupal), and MarTech integrations.
  • Strong understanding of marketing data architecture, data governance, data quality management, and reporting ecosystems.
  • Knowledge of CRM platforms, marketing automation technologies, ABM solutions, and digital analytics tools.
  • Excellent analytical, visualization, and storytelling skills with the ability to convert complex data into actionable business recommendations.
  • Experience driving user enablement, training programs, documentation development, and self‑service analytics adoption.
  • Understanding of privacy, accessibility, and compliance requirements, including GDPR, WCAG, and digital governance best practices.
  • Strong project management and organizational skills with the ability to manage multiple priorities simultaneously.
  • Proactive problem solver with a continuous improvement mindset and strong attention to detail.
  • Outstanding communication, influencing, and stakeholder management skills.
  • Comfortable working across global, cross‑functional teams in a highly collaborative and fast‑paced environment.
Core Competencies

Demonstrates expertise in Marketing Analytics, Data Governance, and Business Intelligence, with a strong focus on developing measurement frameworks and optimizing reporting ecosystems. Proven ability to drive insights and improve data quality while managing cross‑functional collaboration and training initiatives.

Highest-signal resume keywords
  • Marketing Analytics
  • Business Intelligence Platforms
  • Data Governance
  • KPI Frameworks
  • Drupal CMS Management
ATS Optimization KeywordsHard Skills
  • GA4
  • Power BI
  • Tableau
  • Data Studio
  • KPI Framework Design
  • Attribution Models
  • Performance Dashboards
  • Data Quality Management
  • Marketing Data Architecture
  • MarTech Integrations
Soft Skills
  • Analytical Skills
  • Storytelling Skills
  • Project Management
  • Problem Solving
  • Communication Skills
Industry Keywords
  • MarTech Ecosystem
  • Digital Marketing
  • Web Operations
  • Compliance Requirements
  • GDPR
  • WCAG
Tools & Technologies
  • CRM Platforms
  • Marketing Automation Technologies
  • ABM Solutions
  • Digital Analytics Tools
  • BI Tools
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