Insperity

Insperity

Senior Semantic Data Architect

Kingwood, TX · Senior

Sponsorship not specifiedDetected 21 days ago
dbtData EngineeringRAGAgentic AILeadershipCommunicationCollaborationProblem SolvingMentoring

About the role

  • Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology.
  • With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.
  • Behind our success is the unshakeable belief in the value of our people.

Responsibilities

  • Defines and maintains data product standards covering schema conventions, naming, definitional consistency, and lineage
  • partners with engineering and data leadership to drive adoption across business units and fusion teams.
  • Partners with Platform Architects and Enterprise Data Engineering to integrate the semantic model into the Insperity AI Platform's grounding layer, ensuring agents draw on consistent business definitions at inference time and that semantic changes propagate cleanly into production.
  • Partners with AI Program Managers across business units to translate domain definitions into the unified ontology and to keep the model aligned as business processes evolve.
  • Receives knowledge transfer from the external semantic layer consultants and assumes long-term ownership of the model post-handoff, ensuring continuity, ongoing evolution, and institutional capability beyond the initial build.
  • partners with engineering and data leadership on release coordination.
  • Documents the semantic model in forms usable by both technical (engineering, data) and business (operations, compliance) audiences, including conceptual diagrams, definitional references, and lineage views.
  • Partners with Legal, Compliance, and the AI Governance Board to align definitional decisions with policy, regulatory requirements, and responsible AI principles, particularly where semantic choices intersect with regulated data domains.
  • Maintains traceability between business definitions, data product schemas, and downstream consumers (AI agents, analytics, reporting), enabling impact analysis and confident change management as the platform scales.
  • Champions definitional rigor across the AI Platform program, building shared understanding of why consistent business representation is foundational to trustworthy AI and engaging stakeholders to reinforce that discipline.

Requirements

  • Bachelor's Degree or higher in Information Science, Computer Science, Library Science, Knowledge Management, Linguistics, or related field is required.
  • Five to seven years of proven experience in semantic modeling, ontology engineering, taxonomy design, or enterprise data architecture is required.
  • Demonstrated experience designing and maintaining a semantic model consumed by multiple downstream systems, including AI applications, analytics platforms, and operational data products.
  • Working knowledge of at least one formal semantic modeling approach, such as OWL/RDF, Object Role Modeling, UML conceptual modeling, or relational semantic layer platforms (e.g., Cube, dbt, AtScale).
  • Proven ability to facilitate cross-functional definitional disputes to consensus, including where stakeholders disagree on whether a term means the same thing across business contexts.
  • Excellent communication, collaboration, and problem-solving skills, with the ability to translate between technical and business audiences.
  • Ability to think strategically and creatively and adapt to changing needs and priorities.
  • Proficiency in documentation tools and modeling environments (e.g., Protege, PoolParty, ontology IDEs, or equivalent semantic-layer authoring tools).
  • Familiarity with graph databases (e.g., Neo4j, GraphDB, Amazon Neptune) or knowledge graph platforms.
  • Familiarity with data governance frameworks (e.g., DAMA-DMBOK, DCAM) and data product practices.
  • Strong skill at eliciting definitions from non-technical subject matter experts and translating them into precise, machine-usable models.
  • Demonstrated leadership in data foundations for AI, including data governance, cataloging, lineage, quality standards, metadata management, and labeling workflows.

Nice to have

  • Three years of experience working with the data foundations of AI applications, including semantic layers, knowledge graphs, or retrieval augmented generation grounding, is preferred.
  • Demonstrated experience receiving and operationalizing knowledge transfer from an external consulting engagement is preferred.

Benefits

  • Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more.

Company info

  • Insperity provides many ways to grow with the company.
  • We offer continuous learning programs, mentorship opportunities and ongoing training.
  • There's never been a better time to be part of Insperity, and our best work is still ahead.
  • This position is responsible for anchoring the design, development, and governance of the enterprise semantic model that underpins the Insperity AI Platform.
  • We are seeking a talented Senior Semantic Data Architect to join our team
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This listing is sourced directly from Insperity's careers page and normalized into a canonical job model.