Occupational Taxonomy
Reduces billions of unique job titles to a manageable set of occupations.
One language for every role, skill, and activity in your workforce
A job architecture is the foundation of any workforce data strategy. Revelio Labs’ Job Architecture as a Service builds a custom, unified language that categorizes every job, activity, and skill relevant to your company and industry.
Align roles with job activities and candidate skills
Three taxonomies work together to standardize your workforce data, so you can identify talent and compare roles with precision.
Activities Taxonomy
Breaks each job down into the specific work activities a person performs.
Skills Taxonomy
Organizes skills into a hierarchical structure for easy comparison across individuals.
Flexible, dynamic taxonomies powered by AI
Every Revelio Labs taxonomy evolves with the workforce. Our data scientists remove the bias inherent in labor market data and structure it for maximum utility.
Talk to an ExpertHierarchical
Adaptable
Customized
Granular
Extendable
Mappable
Our partnership approach
Job Architecture as a Service is delivered in three phases. Throughout, you work directly with a dedicated data scientist who builds a tailored solution and keeps the process aligned.
Phase 1
Build Industry Taxonomies (1-3 weeks)
Develop custom taxonomies for your company and industry using public workforce data.
Phase 2
Refine with Internal Data (1-2 months)
Integrate your internal data to add precision and accuracy to the Phase 1 taxonomies.
Phase 3
Integrate & Operationalize (3+ months)
Embed the job architecture into your systems and workflows, from data harmonization to actionable insight.
What is job architecture?
A job architecture is a structured framework that organizes the roles, activities, and skills across an organization into a single, consistent language. By standardizing how jobs are defined and related to one another, it creates a universal job language that connects fragmented titles, descriptions, and skill data into one coherent structure.
This framework is the foundation for nearly every workforce data initiative. When roles, activities, and skills are described consistently, organizations can benchmark compensation, map career paths, identify skill gaps, and plan their workforce on comparable terms. Without it, the same job may carry different titles across teams, making analysis unreliable.
A strong job architecture also adapts as the workforce changes. As new roles emerge and skills evolve, the taxonomies underneath it are extended and refined, keeping the framework accurate over time and integrated with the systems where workforce decisions are made.
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