Global Head of Data Architecture, SVP

State Street; Princeton (NJ); On-site; USD 180,000 - 280,000; Full time

Job summary

State Street in Princeton, New Jersey seeks a visionary Head of Data Architecture to define a unified enterprise data architecture and a multi-year transformation roadmap enabling AI-ready data across the organization. You will orchestrate across business and technology to create a cohesive view that aligns with strategic objectives and data governance standards.

In this role, you will standardize data assets, domain definitions, and data flows, driving adoption of reusable data products and

Qualifications

• Experience leading enterprise data architecture initiatives.
• Strong collaboration across business and technology functions.
• Ability to translate business domain complexity into standardized data models.
• Knowledge of data governance, data quality, and metadata management.
• Experience with data products and a reuse-first design approach.
• Excellent communication and stakeholder management skills.

Responsibilities

• Define and maintain the enterprise data architecture vision and target state.
• Develop a unified 'One State Street' data architecture blueprint across domains and platforms.
• Build deep understanding of business processes, domain data models, and data usage.
• Translate domain complexity into standardized enterprise data models and structures.
• Define a multi-year data architecture roadmap and transformation sequence.
• Ensure architecture is actionable, measurable, and aligned with strategy.

Job description

Who We Are Looking For

Define and establish a unified “One State Street” data architecture, including enterprise data domains, reusable data assets, and a clear multi-year roadmap—enabling consistent, AI-ready data across all businesses and functions.

The Head Of Data Architecture Is Accountable For Creating a Cohesive Enterprise Data Architecture That Spans State Street’s Full Business Landscape, Including

• Investment Services


• Investment Management


• Wealth


• Alpha platform


• Global Markets


• Corporate and control functions

This role works deeply across business and technology to understand domain-level data structures, flows, and usage, and synthesize them into a single, integrated enterprise architecture view.

A core focus is to identify, standardize, and drive adoption of reusable data assets and enterprise definitions, ensuring that the organization benefits from shared, consistent, and high-quality data across use cases, platforms, and business lines.

The role defines both the target-state architecture and the practical transformation journey, ensuring that current fragmented data landscapes evolve into a well-structured, scalable, and AI-ready ecosystem.

Success is measured by clarity and adoption of enterprise data architecture, reuse of data assets across domains, and enablement of scalable data and AI platforms.

What You Would Be Responsible For

Enterprise Data Architecture Vision & “One State Street” Blueprint

• Define and maintain the enterprise data architecture vision and target state


• Develop a unified “One State Street” data architecture blueprint, integrating:
  
  
  
  • All business domains
  
  
  • Cross-functional data flows
  
  
  • Platform-aligned data structures
  
  
  
  


• Create clear architectural representations that simplify the enterprise data landscape

Deep Business Domain Alignment

• Partner closely across:
  
  
  
  • Investment Services
  
  
  • Investment Management
  
  
  • Wealth
  
  
  • Alpha platform
  
  
  • Global Markets
  
  
  • Control functions (Finance, Risk, Compliance, Operations, etc.)
  
  
  
  


• Build deep understanding of:
  
  
  
  • Business processes
  
  
  • Domain data models
  
  
  • Data usage and dependencies
  
  
  
  


• Translate domain complexity into standardized enterprise data models and structures

Enterprise Data Domains & Modeling

• Define and standardize:
  
  
  
  • Enterprise data domains and sub-domains
  
  
  • Domain ownership boundaries
  
  
  • Conceptual and logical data models
  
  
  
  


• Ensure consistency and interoperability across domains


• Enable domain-oriented architecture aligned to modern principles (e.g., data products and reuse-first design)

Reusable Data Assets & Enterprise Definitions

• Lead identification and standardization of reusable data assets across the firm


• Define and promote enterprise-level data definitions and canonical data structures


• Drive reuse of:
  
  
  
  • Core data entities (e.g., client, instrument, transaction, position)
  
  
  • Data products and datasets
  
  
  
  


• Partner with Data Platform Products (Role 4) to ensure reusable assets are:
  
  
  
  • Easily discoverable
  
  
  • Accessible and consumable
  
  
  
  


• Drive adoption across businesses to maximize enterprise value from shared data

Data Asset Mapping, Classification & Transparency

• Establish a comprehensive view of enterprise data assets across all domains


• Define consistent frameworks for:
  
  
  
  • Data asset classification
  
  
  • Domain tagging
  
  
  • Business vs. technical metadata
  
  
  
  


• Ensure visibility into:
  
  
  
  • What data exists
  
  
  • Where it resides
  
  
  • How it is used
  
  
  
  


• Partner with Governance (Role 1) on classification alignment without owning policy

Data Architecture Roadmap & Transformation Journey

• Define a multi-year data architecture roadmap from current to target state


• Identify:
  
  
  
  • Redundant and fragmented data assets
  
  
  • Opportunities for consolidation and reuse
  
  
  • Critical architecture gaps
  
  
  
  


• Sequence transformation in alignment with:
  
  
  
  • Strategy & Portfolio (Role 2) priorities
  
  
  • Platform delivery roadmaps
  
  
  
  


• Ensure architecture is actionable and tied to real execution

Standards, Patterns & Architectural Guidance

• Define enterprise standards for:
  
  
  
  • Data design and modeling
  
  
  • Data integration and interoperability
  
  
  • Data product structure
  
  
  
  


• Establish reusable architecture patterns that enable: