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Data Taxonomy Jobs in Iowa (NOW HIRING)

Aegon

Sr Risk Manager, GRC Systems

Cedar Rapids, IA

Ensure full alignment of the GRC platform and taxonomy with Transamerica's ERM Framework and governance requirements. * Define and execute a risk data strategy, delivering consistent, reliable, and ...

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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 Iowa? For Data Taxonomy jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Iowa look for? The top searched job categories for Data Taxonomy jobs in Iowa are:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Iowa 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.

Director of AI Enablement & Knowledge Innovation (Des Moines)

UKG (Ultimate Kronos Group)

Des Moines, IA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

UKG rating

7.8

Company rating: 7.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

UKG is seeking a seasoned leader to define knowledge architecture and taxonomy for CX learning and enablement. You will design and deploy AI/RAG solutions, intelligent search, and content lifecycle automation across product workflows and frontline tools.

You will own integrations and tooling, drive pilots to validate AI use cases, and establish governance for data, privacy, and bias while collaborating with engineering and business partners to deliver measurable business outcomes.

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