Senior Semantic Data Architect

Location: Kingwood

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. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We’ve earned recognition time and again as a top place to work—named among the best by respected organizations like Glassdoor and U.S. News & World Report. We’re also proud to be recognized for one of the country’s Top 50 Midsize Early Talent Programs through Ripple Match’s Campus Forward Awards. There’s never been a better time to be part of Insperity, and our best work is still ahead.

Learn more at  Insperity?

Flexibility:
Over 80% of Insperity’s jobs have flexibility. We want your time to have balance, whether it’s spent with coworkers, clients, family or your community.

Career Growth:
Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being:
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. We take care of our people so that you can do your best work.

We are seeking a talented Senior Semantic Data Architect to join our team

SUMMARY:

This position is responsible for anchoring the design, development, and governance of the enterprise semantic model that underpins the Insperity AI Platform. It defines how business entities, relationships, and rules are consistently represented across domains, enabling reliable AI, analytics, and data products. The role partners with subject matter experts, AI Program Managers, Platform Architecture, and governance bodies to translate business definitions into a unified semantic layer.

It also ensures ongoing alignment, adoption, and integrity of the model as business processes and platform capabilities evolve.

RESPONSIBILITIES:

Designs and maintains the enterprise semantic model (ontology, taxonomy, and controlled vocabularies) across HR, Payroll, Benefits, Risk, and Service Operations domains, ensuring consistent representation of core business entities and relationships across the Insperity AI portfolio.

Elicits authoritative business definitions from subject matter experts and resolves cross-domain definitional conflicts, codifying the result into a unified semantic layer used by AI agents, analytics, and downstream data products.

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.

Governs the change control process for the semantic model, reviewing additions, deprecations, and modifications against impact on downstream consumers; 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…