Global Head of Data Architecture, SVP

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:
  • 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 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

• Enterprise architect with strong business acumen
• Able to unify fragmented landscapes into cohesive, simple architectures
• Influential leader who drives alignment without direct control
• Balances strategic clarity with execution realism
• Strong communicator capable of articulating the “big picture” clearly

Salary Range:

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 .

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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