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:
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
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 enterprise architecture within financial services
Strong knowledge of State Street-relevant domains:
Custody and fund services
Asset management
Trading and markets
Wealth and client servicing platforms
Deep understanding of:
Modern data architecture patterns
Distributed and platform-based data ecosystems
Proven ability to:
Define enterprise-wide architecture frameworks
Influence across complex, federated organizations
Strong blend of business domain expertise and technical depth
Leadership Profile
Salary Range:
$225,000 - $337,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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