Global Head of Data Architecture, SVP

State Street•Boston, MA

1d•$225,000 - $337,500

About The Position

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, 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 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.

Requirements

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 and platform-based data ecosystems.
Proven ability to define enterprise-wide architecture frameworks.
Proven ability to influence across complex, federated organizations.
Strong blend of business domain expertise and technical depth.
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.

Responsibilities

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.
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, and data usage and dependencies.
Translate domain complexity into standardized enterprise data models and structures.
Define and standardize enterprise data domains and sub-domains, domain ownership boundaries, and 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).
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) and 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.
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.
Define a multi-year data architecture roadmap from current to target state.
Identify redundant and fragmented data assets and opportunities for consolidation and reuse.
Identify critical architecture gaps.
Sequence transformation in alignment with Strategy & Portfolio priorities and platform delivery roadmaps.
Ensure architecture is actionable and tied to real execution.
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.
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.
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.
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.

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 our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks