Principal Enterprise Data & AI Information Architect
About The Position
Xperi is transforming how enterprise technology, data, automation, and AI work together across the company. Our business operates across a diverse ecosystem of enterprise platforms including Salesforce, NetSuite, ServiceNow, Atlassian, data platforms, AI services, and custom applications. While these systems successfully support business operations, critical business information is often represented differently across platforms, creating inconsistency, complexity, and barriers to automation. We are building a modern enterprise data foundation that will power reporting, analytics, automation, copilots, AI agents, and future digital experiences. The Principal Enterprise Data & AI Information Architect will lead the design of that foundation. This individual will define how enterprise data is modeled, connected, governed, and understood across the company, creating a scalable semantic architecture that enables trusted business decisions and AI-driven operations. This is a highly visible Principal-level individual contributor role reporting directly to the CIO and partnering with executive leadership across Finance, Sales, Operations, Product, HR, Legal, and Engineering.
Requirements
- 12+ years of experience in Enterprise Data Architecture, Information Architecture, or Data Platform Leadership
- Deep expertise in: Enterprise data modeling, Master data architecture, Semantic layers, Metadata management, API-centric architectures
- Experience operating across complex SaaS ecosystems
- Strong understanding of modern cloud data architectures
- Experience supporting AI, machine learning, copilots, or agentic AI initiatives
- Exceptional executive communication and influence skills
- Demonstrated ability to drive enterprise-wide standards without direct authority
Nice To Haves
- Experience with Salesforce, NetSuite, ServiceNow, Atlassian, and Microsoft ecosystems
- Experience implementing enterprise semantic models
- Experience with data catalogs and metadata platforms
- Knowledge graph or ontology experience
- Familiarity with Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or equivalent platforms
- Experience supporting AI governance and enterprise AI architectures
Responsibilities
- Define and evolve Xperi’s enterprise data architecture roadmap
- Establish long-term data strategy supporting analytics, automation, AI, and digital transformation initiatives
- Partner with executive stakeholders to identify enterprise information priorities
- Align data architecture with business and technology strategy
- Define and maintain enterprise canonical data models
- Establish common business entities including: Customer, Account, Product, Revenue, Contract, Subscription, Pipeline, Employee, Asset, Operational Metrics
- Drive adoption of standardized business definitions across enterprise platforms
- Eliminate duplicate and conflicting representations of business information
- Design and establish the enterprise semantic layer
- Create shared business vocabulary and metric definitions
- Define enterprise business ontology and relationships between key data domains
- Enable consistent interpretation of business information across systems
- Establish semantic standards supporting reporting, APIs, automation, and AI applications
- Architect enterprise data structures optimized for: Microsoft Copilot, Agentic AI platforms, MCP-enabled architectures, Enterprise search, Knowledge retrieval, AI orchestration platforms
- Partner with AI teams to ensure trusted and explainable AI outcomes
- Establish frameworks for contextual enterprise knowledge used by AI agents
- Enable future knowledge graph and enterprise memory capabilities
- Define reusable enterprise data products
- Standardize data consumption patterns across applications and business functions
- Establish enterprise data contracts and ownership models
- Reduce duplication of business logic across systems
- Establish enterprise standards for: Data modeling, Metadata management, Data lineage, Semantic definitions, Data quality, Enterprise APIs
- Partner with Security, Compliance, Governance, and Enterprise Application teams
- Influence application, integration, reporting, AI, and engineering teams
- Facilitate executive alignment on enterprise business definitions
- Resolve conflicts across organizations where competing definitions exist
- Serve as trusted advisor to senior leadership on enterprise data strategy
Benefits
- Competitive compensation (salary, equity and bonuses)
- Comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future.
- Generous paid time away from work, including flexible time off, holidays and sick time
- Health and wellness initiatives
- A charitable match program to help you give back to your community.
- Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities.
- A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
