Remote AI Lead - Semantic Data Platform

CSAA

Town of Texas (WI)

Remote

USD 168,000 - 224,000

Full time

14 days+

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Benefits offered by this job

Remote-first culture
Annual bonus
401(k) with company match

Job summary

CSAA Insurance Group is hiring a Sr. Manager, AI Lead - Semantic Layer for a remote role available across the United States. You will own the vision, strategy, and roadmap for enterprise semantic data, connecting data concepts to AI-driven experiences.

You will mentor product managers and partner with IT, business, and data leaders to deliver a scalable semantic foundation. You will drive data governance, ontologies, and data models, enabling search, analytics, automation, and generative AI use

Qualifications

  • 10+ years of product management experience, including data/dataplatf orm products.
  • Experience leading teams or programs across enterprise data initiatives.
  • Experience with ontologies, semantic data models, or knowledge graphs.

Responsibilities

  • Own end-to-end product lifecycle for semantic data products.
  • Define requirements, success metrics, and release plans.
  • Drive adoption and measure impact of semantic data capabilities.
  • Collaborate with data engineering, EA, and AI/ML teams to deliver scalable solutions.
  • Evangelize value of connected semantic data across the organization.

Skills

Data governance
Ontology modeling
Product management
Team leadership
Stakeholder alignment
AI/ML collaboration

Education

Bachelor's degree or higher

Tools

SQL
APIs

Job description

CSAA Insurance Group is hiring a Sr. Manager, AI Lead - Semantic Layer for a remote role available across the United States. You will own the vision, strategy, and roadmap for enterprise semantic data, connecting data concepts to AI-driven experiences.

You will mentor product managers and partner with IT, business, and data leaders to deliver a scalable semantic foundation. You will drive data governance, ontologies, and data models, enabling search, analytics, automation, and generative AI use

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