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60 State Street Data Scientist Jobs Hiring Near You

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... Bachelor's degree or its equivalent in Computer Science, Information Systems, or a related field ...

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What is it like to work at State Street?

State Street is a global financial services company that values collaboration, innovation, and customer-centricity, fostering a culture of teamwork and continuous learning. The company's structure is organized into various business units, including investment management, custody, and securities finance, with a focus on delivering exceptional client experiences through cutting-edge technology and expertise. Working at State Street may appeal to candidates seeking a challenging and dynamic environment with opportunities for professional growth, as the company invests in employee development and offers a range of benefits and perks to support work-life balance.

What makes State Street an attractive place to work?

State Street is a leading global financial services company that plays a critical role in the financial markets, providing a wide range of services to institutional investors, financial institutions, and corporations. The company offers a dynamic and collaborative work environment that fosters innovation, teamwork, and professional growth, with opportunities to work on complex projects and develop skills in areas such as data analytics, technology, and investment management. By joining State Street, individuals can contribute to the company's mission of helping clients achieve their financial goals and develop their careers in a stable and supportive organization.

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Infographic showing various Data Scientist job openings at State Street in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 92% Physical, and 8% Hybrid job distribution.

Global Head of Data Architecture, SVP (Princeton)

State Street

Princeton, NJ • On-site

Full-time

Posted 13 days ago

Job description

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:

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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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