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Data Taxonomy Jobs in Florida (NOW HIRING)

... taxonomy, and dashboard design * Lead platform-specific content roadmaps (Google SecOps, Sentinel ... Evaluate new data sources, integrations, and vendor partnerships for content expansion * Drive ...

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Strong working knowledge of UTM governance, campaign taxonomy, and attribution methodology * Fluency in SQL; ability to self‑serve data validation, QA, and ad‑hoc analysis in BigQuery or Redshift ...

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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 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 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 Florida? For Data Taxonomy jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Data Taxonomy jobs? Cities in Florida with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Skills Foundation Lead (Learning & Talent)

Milestone Technologies

Orlando, FL • On-site

$85 - $95/hr

Contractor

Posted 21 days ago


Job description

Skills Foundation Lead (Learning & Talent)
Onsite 4 days per week in Orlando, New York or Glendale/Burbank
(MUST be currently local to one of these locations)
Pay Rate = $85.00 - 95.00/hr W2
6+ months W2 ONLY contract
7+ years of experience in HR technology, workforce technology, or talent/learning platform implementation.
Hands-on experience building or implementing skills taxonomies, task frameworks, or job architectures within enterprise HR or learning systems.
Experience mapping skills and tasks to job architectures and learning content at scale.
Proven ability to translate business requirements into technical system design and configuration.
Experience configuring and integrating platforms such as Workday (Skills Cloud, Talent Management, Learning) or SAP SuccessFactors (Skills & Competencies, Learning) or Phenom (Internal Marketplace, Succession, Skills, Career Pathing)
Strong understanding of enterprise HR data structures, integration patterns, and platform dependencies.
Description
Seeking a Skills Foundation Lead to execute the implementation of a enterprise skills foundation, adjusting the existing skills setup (where present) while establishing a consistent in-system taxonomy, task-to-skill and job-to-skill mapping, system integration, and alignment across talent and learning platforms. The focus is on implementing an initial skills foundation within enterprise applications that can be further scaled as the skills and task ontology matures.
Responsibilities
Skills Architecture & Implementation -
Partner with business leaders to determine the technical design, sequence, and timeline required to implement an initial task/skills foundation across enterprise talent and learning platforms.
Assess and modernize or replace the existing enterprise tasks and skills in-system setup, including current taxonomy, data structures, and platform configuration.
Assess and implement initial tasks and skills where none currently exist.
Map tasks to skills and jobs to skills within applications resulting in an in-system usable skills architecture that reflects how work is performed leveraging inputs for other work such as an internal Role Builder Job Architecture tool or external skills assessment tools.
Platform Alignment & Integration -
Enable integration of skills data across enterprise talent, learning, and performance applications.
Align skills mappings to learning content, roles, and talent data across platforms (e.g., Workday, SAP SuccessFactors)
Identify and resolve gaps in skills data consistency across talent & learning.
Governance & Sustainability -
Establish governance and processes to maintain the skills taxonomy, task mappings, and job architecture in partnership with Technology Product and Center of Excellence (CoE) teams.
Document methods and define repeatable processes to map skills to learning content at scale.
Document learnings from initial pilots to inform further scaling of the skills foundation.
Expected Outcomes -
Technical design identified and documented for the enterprise skills foundation.
Basic core tasks and skills taxonomy implemented across learning and talent applications.
Learnings from pilots captured to enable further scaling.
Defined and demonstrated method to map core skills to learning content in mass.
Connected enterprise skills data layer across talent, learning, and workforce planning.
Basic core task-to-skill and job-to-skill mappings established to support future capabilities such as career pathing, workforce planning, and talent marketplace.
Basic Qualifications
7+ years of experience in HR technology, workforce technology, or talent/learning platform implementation.
Hands-on experience building or implementing skills taxonomies, task frameworks, or job architectures within enterprise HR or learning systems.
Experience configuring and integrating platforms such as Workday (Skills Cloud, Talent Management, Learning) or SAP SuccessFactors (Skills & Competencies, Learning) or Phenom (Internal Marketplace, Succession, Skills, Career Pathing)
Proven ability to translate business requirements into technical system design and configuration.
Experience mapping skills and tasks to job architectures and learning content at scale.
Strong understanding of enterprise HR data structures, integration patterns, and platform dependencies.
Demonstrated ability to establish data governance processes and maintain taxonomy frameworks across product and CoE teams.
Excellent written and verbal communication skills; experience influencing and presenting technical recommendations to HR and business stakeholders.
Experience working in large, matrixed, global organizations with multiple stakeholder groups and interconnected priorities.
Preferred Qualifications
Experience supporting skills-based operating model transformations or large-scale HR modernization programs.
Agile or product management methodology experience.
Experience with AI-enabled skills inference tools or skills engines (e.g., Eightfold AI, Lightcast/Emsi, LinkedIn Skills Graph)
Deep experience with Phenom, Workday, or SAP SuccessFactors HR capabilities
Familiarity with talent marketplace, internal mobility, or workforce planning platforms.
Experience with job architecture frameworks.
Tools: AI tools, Airtable, ServiceNow CMDB, Clarity, or similar program tracking tools.
Education
Bachelor's degree in Computer Science, Information Systems, Human Resources, Organizational Development, or a comparable field of study, and/or equivalent work experience.
The estimated pay range for this position is USD $85.00/hr - USD $95.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.