Head of Enterprise Architecture, SVP

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$225,000–$337,500 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $281k
$139k most similar roles pay here $359k

This role pays more than 86% of similar roles. Most pay $180,600–$248,000 — the shaded band above. At the midpoint, this role pays about $281k versus about $214k for comparable roles.

Based on 239 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 185 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 180 roles with salary data.

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View all roles at State Street

At a glance

TL;DR · Head of Enterprise Architecture, SVP

Head of Enterprise Architecture, SVP leads the design of the technology estate, establishing the standards, patterns, and governance for all platforms, applications, and integrations. This technical leadership role focuses on reducing complexity, cutting technical debt, and building a robust infrastructure to support AI-forward capabilities. The successful candidate will manage the Technology Standards Board, curate an enterprise pattern library, and develop reference architectures for accelerated compute, model serving, and inference optimization. Key responsibilities include overseeing technology spend optimization, estate rationalization, and ensuring compliance with regulations like SR 11-7 and the EU AI Act. Required expertise includes cloud-native architecture, Kubernetes, distributed systems, event streaming, API integration, infrastructure-as-code, and zero-trust security. The role requires a principal-level architect capable of designing large-scale systems while navigating complex requirements for agentic systems and high-performance computing environments.

What you'll do

  • Own the enterprise technology blueprint across infrastructure, cloud, security, data, and application domains.
  • Define and govern an enterprise pattern library to reduce complexity and accelerate engineering decisions.
  • Establish the technical reference architecture for AI infrastructure, including model serving and inference optimization.
  • Develop architectural standards for agentic systems, ensuring compliance with regulatory requirements like the EU AI Act.
  • Lead estate rationalization efforts to identify consolidation opportunities and reduce technology debt.
  • Create cost transparency models to map vendor spend and cloud consumption to business value.
  • Build and lead a global enterprise architecture team and a community of practice.
  • Communicate architectural standards and investment cases to both senior engineers and executive leadership.

What we're looking for

  • Extensive, hands-on engineering and architecture career culminating in principal-architect or enterprise-architecture leadership roles.
  • Proven delivery of enterprise-wide architecture programs across multi-cloud and hybrid estates at material scale.
  • Deep expertise in cloud-native architecture, Kubernetes, distributed systems, event streaming, API/integration patterns, infrastructure-as-code, and zero-trust security.
  • Demonstrable depth in AI infrastructure architecture including model serving, inference optimization, and accelerated-compute cluster design.
  • Working knowledge of AI governance architecture, including risk tiering, explainability tooling, and data provenance controls.
  • Ability to influence stakeholders and present investment cases to senior leadership with executive presence.
  • Financial-services or comparably regulated experience with knowledge of SR 11-7, DORA, FFIEC, BCBS 239, or OCC Heightened Standards (preferred).
  • Experience building an enterprise pattern library and defining AI reference architectures for production use (preferred).

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