Global Head of Data Architecture, SVP
Job in
Quincy, Norfolk County, Massachusetts, 02170, USA
Listed on 2026-07-13
Listing for:
State Street Corporation
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information & Knowledge Management
Job Description & How to Apply Below
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:
* Platform scalability
* AI-ready data design
* Provide clear guidance to engineering and platform teams without owning delivery
Collaboration with Platforms & Technology
* Partner deeply with:
* Data Platform Products
* AI Platform Products
* Enterprise architects within GTS
* Ensure architecture is:
* Technically feasible
* Consistent across environments
* Scalable for enterprise AI use
Enterprise Influence & Alignment
* Act as the enterprise authority on data architecture
* Drive alignment across business and technology stakeholders
* Promote a reuse-first, domain-driven data culture across the firm
Team Leadership
* Lead a global team of ~10-15 data architects
* Build capabilities in:
* Domain architecture
* Data modeling
* Enterprise data design
* Foster a culture of:
* Deep business engagement
* Practical, execution-oriented architecture
* High-quality, consistent outputs
Qualifications & Experience
* Senior leadership experience in data or…
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