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Digital Taxonomy Jobs in Florida (NOW HIRING)

Maintain digital assets, product visuals, metadata, taxonomy, folder structure, naming conventions, permissions, and lifecycle status. * Coordinate asset intake, version control, and user requests ...

Digital Asset & Product Data Specialist

Plantation, FL · On-site

$110K - $111K/yr

As the Digital Asset & Product Data Specialist, you will oversee the end-to-end lifecycle of brand ... Oversee the intake, cataloging, taxonomy, and distribution of photography assets across enterprise ...

Digital Asset & Product Data Specialist

Plantation, FL · Remote

$110K - $111K/yr

As the Digital Asset & Product Data Specialist, you will oversee the end-to-end lifecycle of brand ... Oversee the intake, cataloging, taxonomy, and distribution of photography assets across enterprise ...

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Digital Taxonomy information

What is digital taxonomy?

Digital taxonomy refers to the structured classification and organization of digital assets, information, or data, typically within a digital platform or content management system. It involves creating a system of categories, tags, or metadata to make digital content easier to find, manage, and analyze. Effective digital taxonomy ensures that users can efficiently search for and retrieve information, improving both user experience and business processes. Professionals in this field often work with marketing, data management, or IT teams to develop and maintain these systems.

What are the key skills and qualifications needed to thrive in digital taxonomy?

To thrive in Digital Taxonomy, you need expertise in information architecture, metadata standards, content classification, and a background in library science, information management, or a related field. Familiarity with taxonomy management tools (like PoolParty or Smartlogic), content management systems, and data governance frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help ensure taxonomies are user-friendly and meet organizational needs. These skills ensure accurate organization, retrieval, and governance of digital assets, which is critical for optimizing content discoverability and business efficiency.

How does a digital taxonomy specialist typically collaborate with cross-functional teams to ensure accurate data categorization?

Digital Taxonomy specialists frequently work alongside product managers, UX designers, content strategists, and developers to create and maintain classification systems that organize digital content effectively. They facilitate workshops, gather feedback from stakeholders, and translate business requirements into structured taxonomies. Regular meetings and clear documentation help ensure everyone is aligned on naming conventions, metadata standards, and tagging processes. This collaborative approach is essential to maintain consistency and usability across digital platforms.

What is the difference between Digital Taxonomy vs Content Strategist?

AspectDigital TaxonomyContent Strategist
Required CredentialsTypically a degree in information science, library science, or related fieldsUsually a background in marketing, communications, or journalism
Work EnvironmentOften in digital libraries, information management, or tech companiesPrimarily in marketing agencies, media companies, or corporate branding teams
Industry UsageUsed in information architecture, data organization, and digital asset managementFocused on content planning, creation, and audience engagement

Digital Taxonomy and Content Strategist roles overlap in digital content management but differ in focus. Digital Taxonomy centers on organizing digital information systematically, while Content Strategists develop content plans to engage audiences. Both roles are vital in digital environments but serve distinct functions within organizations.

How to become a digital taxonomist?

To become a digital taxonomist, develop expertise in information organization, classification, and data management, often through degrees in library science, information science, or related fields. Gaining skills in data analysis, taxonomy tools, and metadata standards, along with practical experience in digital content management, is essential for this role.

What cities in Florida are hiring for Digital Taxonomy jobs?

Cities in Florida with the most Digital Taxonomy job openings:

Infographic showing various Digital Taxonomy job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Digital Marketing Analyst

Hollywood, FL • On-site

WAI GLOBAL
Motor Vehicle Manufacturing • 201 - 500 employees

Full-time

Posted 21 days ago


Job description

Description:

POSITION SUMMARY

The Digital Marketing Analyst owns reporting, performance measurement, and data-driven insight across WAI Global’s digital marketing and ecommerce operations. The role turns data from web analytics, ecommerce, email, and product review sources into clear, prioritized recommendations that improve campaign performance, content quality, and user experience. Working across Power BI, web analytics, Visual SKUs DAM, Adobe Commerce, and Mailchimp, the analyst also supports the daily operations that keep assets, product content, campaigns, and translations accurate, governed, and ready for use. The position is analytical, detail-oriented, and cross-functional, partnering with global digital marketing, ecommerce, product, sales, creative, and regional teams across North America and Europe.

ESSENTIAL DUTIES AND RESPONSIBILITIES

1. Analytics, Reporting & Insights - Power BI and Web Analytics

• Maintain and refresh Power BI dashboards and recurring reports covering website performance, ecommerce, campaign results, product reviews, digital asset activity, and marketing KPIs.

• Track and report web and campaign performance using web analytics and search data, for example Google Analytics 4, monitoring traffic, conversion, engagement, and audience trends.

• Validate data accuracy across sources, identify trends and anomalies, and translate findings into clear, prioritized recommendations that inform marketing and ecommerce decisions.

2. Product Review Intelligence & Sentiment Analysis

Manage product review collection across approved ecommerce marketplaces and retailers, maintaining cadence, scope, data quality, and compliance with internal guidelines. • Coordinate categorization, deduplication, sentiment tagging, issue routing, and reporting to surface product feedback themes, customer pain points, and improvement opportunities for product, quality, and catalog teams.

3. Ecommerce Content Operations - Adobe Commerce

Execute product, category, landing page, banner, merchandising, and support-copy updates in Adobe Commerce while maintaining content accuracy and publishing readiness.

• Coordinate localization and translations with internal teams and regional reviewers, and QA formatting, links, images, metadata, approvals, and translated page elements.

4. Digital Asset Management - Visual SKUs DAM • Maintain digital assets, product visuals, metadata, taxonomy, folder structure, naming conventions, permissions, and lifecycle status. • Coordinate asset intake, version control, and user requests based on approved taxonomy.

5. Email Marketing Execution - Mailchimp

Build, test, schedule, and support Mailchimp campaigns, including content formatting, links, images, audience segmentation, and approvals.

• Track email performance, prepare campaign reports, identify deliverability or engagement trends, and provide platform support to internal users.

6. Marketing Operations & Cross-Functional Support

Track requests, timelines, deliverables, approvals, and handoffs across digital marketing workstreams to ensure accurate and timely execution.

• Support process documentation, quality control, vendor or agency coordination, stakeholder follow-up, and continuous improvement of digital operations workflows.

Requirements:

QUALIFICATIONS (Education, Experience, & Skills) and REQUIREMENTS

Minimum Education: Bachelor's degree in Marketing, Business, Analytics, Communications, Digital Media, or a related field.

Minimum Years of Experience: 2 to 4 years in marketing analytics, digital marketing operations, ecommerce content, email marketing, DAM administration, or a related marketing support role.

Required Qualifications:

• Strong attention to detail, organization, data accuracy, and quality-control mindset.

• Hands-on experience building reports or dashboards and working with marketing or web data, plus supporting website content, email campaigns, and/or digital asset libraries.

• Ability to manage multiple deadlines, translate data into clear insights, and communicate effectively with cross-functional stakeholders.

• Passion for and demonstrated proficiency in using AI tools to improve productivity, enhance decision-making, automate routine tasks, and support high-quality work. Must be willing to continuously learn emerging AI capabilities and apply them responsibly, accurately, and ethically in daily workflows.

Preferred Qualifications:

• Experience with Power BI, web analytics (for example Google Analytics 4 and Google Search Console), Visual SKUs DAM, Adobe Commerce, Mailchimp, ecommerce localization workflows, or product review and sentiment reporting tools (for example Brightdata)

• B2B, automotive aftermarket, heavy-duty, industrial, ecommerce, or product-driven marketing experience.

• Working knowledge of HTML and CSS for editing email templates, landing pages, banners, and ecommerce content, with light front-end QA.

Key Competencies:

• Analytical thinking; execution excellence; organization and prioritization; attention to detail; service-oriented collaboration; process improvement.

Tools and Platforms:

• Power BI, web analytics (for example Google Analytics 4 and Google Search Console), Microsoft Excel and Office, Visual SKUs DAM, Adobe Commerce, Mailchimp, translation and localization workflows and product review and sentiment analysis tools.

Success Metrics / KPIs:

• Timeliness and accuracy of DAM updates, ecommerce content changes, translations, campaign launches, dashboard refreshes, and product review reporting.

• Reduction in content errors, asset retrieval issues, reporting gaps, approval delays, and unresolved review feedback themes.

• Improved email engagement reporting, Adoption of dashboards and reports by stakeholders, with timely, decision-ready insights that inform marketing and ecommerce actions.

Collaboration and Stakeholders:

• Global digital marketing, ecommerce, product management, sales, creative, regional marketing, customer support, agencies, vendors, and external translation partners.

Languages: Fluent in English.