Strategic Enterprise Data & AI Architect (Hybrid)

Xperi Inc.; Calabasas (CA); On-site; USD 158,000 - 209,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive compensation

Stock options

Health benefits

Job summary

Xperi Inc. in Calabasas, CA seeks a Principal Enterprise Data & AI Information Architect to define the enterprise data architecture strategy and unified semantic framework across business platforms.

You will own canonical data models, metadata strategy, and AI-ready data structures, collaborating with Finance, Sales, Operations, Product, HR, Legal and Engineering to enable trusted decisions and AI-powered operations. Hybrid work options available.

Qualifications

• 12+ years in Enterprise Data Architecture or related leadership roles.
• Deep expertise in data modeling, semantic layers, and metadata management.
• Experience across complex SaaS ecosystems and modern cloud data architectures.
• Experience supporting AI, copilots, or agentic AI initiatives.
• Exceptional executive communication and influence skills.

Responsibilities

• Define and evolve the enterprise data architecture roadmap.
• Establish canonical data models and enterprise data definitions.
• Design the enterprise semantic layer and metadata strategy.
• Enable AI-ready data structures and trusted AI outcomes.
• Drive cross-functional collaboration across IT and business units.
• Establish standards for APIs, data quality, and data contracts.

Skills

Enterprise data architecture

Information architecture

Data platform leadership

Data modeling

Master data management

Semantic layer design

Metadata management

APIs & integration

SaaS ecosystems

AI governance

Executive communication

Tools

Salesforce

NetSuite

ServiceNow

Atlassian

Microsoft Fabric

Azure Data Platform

Databricks

Snowflake

Job description

Xperi Inc. in Calabasas, CA seeks a Principal Enterprise Data & AI Information Architect to define the enterprise data architecture strategy and unified semantic framework across business platforms.

You will own canonical data models, metadata strategy, and AI-ready data structures, collaborating with Finance, Sales, Operations, Product, HR, Legal and Engineering to enable trusted decisions and AI-powered operations. Hybrid work options available.