Global Head of Data Architecture, SVP

State Street; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

State Street is seeking a Head of Data Architecture to define and lead a unified “One State Street” data architecture. You will establish the target state for enterprise data, align across Investment Services, Investment Management, Wealth, Alpha platform, Global Markets and control functions, and drive adoption of reusable data assets.

You will collaborate with business and technology teams to translate domain complexity into standardized models, ensuring AI-ready data across the firm and a

Qualifications

• Experience leading enterprise data architecture initiatives across multiple business domains.
• Ability to map complex business processes to standardized data models.
• Proven ability to drive data asset standardization and reuse across platforms.

Responsibilities

• Define and maintain the enterprise data architecture vision and target state.
• Develop a unified data architecture blueprint across domains and platforms.
• Lead cross-functional alignment between business lines and technology teams.
• Create clear architectural representations of the enterprise data landscape.
• Drive adoption of reusable data assets and enterprise definitions across the firm.

Skills

Enterprise data architecture

Domain data models

Data governance

Stakeholder collaboration

Education

Master's degree in data/computer science or related field

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: