Global Head of Data Architecture, SVP

About the Role

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. This role 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, and 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 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 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.

Responsibilities

• 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, and 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, and 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 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, and business vs. technical metadata.
  • Ensure visibility into what data exists, where it resides, and how it is used.
  • Partner with Governance 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, and critical architecture gaps.
  • Sequence transformation in alignment with strategy, portfolio priorities, and 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, and data product structure.
  • Establish reusable architecture patterns that enable platform scalability and 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, and enterprise architects within GTS.
  • Ensure architecture is technically feasible, consistent across environments, and 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, and enterprise data design.
  • Foster a culture of deep business engagement, practical execution-oriented architecture, and 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 and distributed, platform-based data ecosystems.
• Proven ability to define enterprise-wide architecture frameworks and 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.

Pay

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, the applicable range could differ.

Benefits

• 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 Employee Assistance Program.
• Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans).
• Eligibility for certain tax advantaged savings plans.

For a full overview, visit State Street Benefits.