Lead Enterprise Data & AI Architect | Semantic AI Readiness

Xperi Inc.

San Jose (CA)

On-site

USD 157,940 - 209,271

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Hybrid work environment
Comprehensive benefits

Job summary

Xperi Inc. seeks a Principal Enterprise Data & AI Information Architect to lead the enterprise data architecture strategy and semantic framework. You will definitionally model data, govern metadata, and set standards enabling trusted analytics and AI-driven operations across the company.

The role partners with CIO and executives, shaping data definitions across Finance, Sales, Operations, Product, HR, Legal, and Engineering to ensure consistent interpretation and scalable data products.

Qualifications

  • 12+ years of experience in Enterprise Data Architecture or related leadership roles.
  • Deep expertise in enterprise data modeling, master data architecture, and semantic layers.
  • Experience with AI, copilots, or agentic AI initiatives is preferred.
  • Exceptional executive communication and influence skills.

Responsibilities

  • Define and evolve Xperi’s enterprise data architecture roadmap.
  • Define and maintain enterprise canonical data models and common entities.
  • Design enterprise semantic layer and governance standards across platforms.
  • Architect data structures optimized for AI agents and enterprise AI platforms.
  • Define reusable data products and contracts for cross-functional consumption.
  • Collaborate with Security, Compliance, and Governance teams to enforce standards.
  • Lead cross-functional teams without direct authority and drive alignment.

Skills

Executive communication
Influence skills
Enterprise data modeling
Semantic layers
API-centric architectures
AI governance
SaaS ecosystems

Tools

Salesforce
NetSuite
ServiceNow
Atlassian
Microsoft Fabric
Azure Data Platform
Databricks
Snowflake

Job description

Xperi Inc. seeks a Principal Enterprise Data & AI Information Architect to lead the enterprise data architecture strategy and semantic framework. You will definitionally model data, govern metadata, and set standards enabling trusted analytics and AI-driven operations across the company.

The role partners with CIO and executives, shaping data definitions across Finance, Sales, Operations, Product, HR, Legal, and Engineering to ensure consistent interpretation and scalable data products.

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