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Global Head of Data Architecture, SVP

Statestreet5h ago
United StatesHybrid$225K–$337.5KFull-timeSenior Level5+ yrs exp

Top focus

Vp DataData AnalystData EngineerData ScientistData Consultant

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: $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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An employer who violates this law shall be subject to criminal penalties and civil liability.

Required skills

data architecturedata modelingdata integrationdata governanceAIfinancial servicesenterprise architecturedata productsdata ecosystemsbusiness analysis
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