VP of Data Engineering & AI Platforms

State Street Corporation; United States; On-site; USD 120,000 - 218,000; Full time

Job summary

State Street Corporation in North Quincy, MA seeks a Data Engineering Lead to shape data platforms at enterprise scale. You will design, develop and deploy data solutions across fund accounting, custody and reference data domains, guiding teams and aligning with business goals.

We value Python, Spark, Databricks and AI/ML workflows, with focus on responsible AI, security and governance. You’ll collaborate across business and tech teams, build reusable components, and drive scalable architecture

Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
• Overall 12 years in IT delivery including 3 years hands-on AI/ML and data engineering.
• Strong hands-on expertise in Python, Apache Spark, PySpark, and Databricks for large-scale data processing and AI model development.
• Proven ability to design, deploy, and evaluate machine learning and generative AI models using platforms such as OpenAI, Hugging Face, Azure OpenAI, and orchestration tools like LangChain.
• Solid understanding of AI evaluation frameworks, responsible AI practices, and experience building reusable libraries and scalable pipelines.
• Effective communicator and collaborator with experience influencing cross-functional teams and stakeholders in complex, regulated environments.

Responsibilities

• Lead the design, development, and deployment of solutions across use cases such as document processing, intelligent agents, and automation frameworks.
• Collaborate with cross-functional teams to translate business needs into data-driven workflows using modern orchestration tools.
• Promote responsible practices including security, compliance, and explainability, while ensuring robust deployment.
• Establish reusable frameworks, evaluation pipelines, and scalable components to accelerate adoption and maintain consistency.
• Prioritize initiatives, manage delivery timelines, and align efforts with enterprise goals.
• Define and evolve data architecture patterns for fund accounting, custody, and reference data domains, ensuring clear lineage from source systems through consumption layers.
• Partner with business and technology stakeholders to model complex investment data concepts, including NAV, positions, transactions, cash, income, corporate actions, securities, accounts, and party/reference data.
• Establish scalable data models, integration standards, and quality controls that support accurate accounting, custody servicing, reconciliation, regulatory reporting, and client-facing data delivery.
• Drive architecture decisions that balance domain expertise, data governance, performance, security, and reuse across enterprise data platforms.

Skills

Data engineering

Python programming

AI/ML concepts

System design

Leadership

Stakeholder influence

Responsible AI practices

Experimentation culture

Communication

Cloud computing

Education

Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related field

Tools

Apache Spark

PySpark

Databricks

OpenAI

Hugging Face

Azure OpenAI

LangChain

Fiddler

Postman

Job description

State Street Corporation in North Quincy, MA seeks a Data Engineering Lead to shape data platforms at enterprise scale. You will design, develop and deploy data solutions across fund accounting, custody and reference data domains, guiding teams and aligning with business goals.

We value Python, Spark, Databricks and AI/ML workflows, with focus on responsible AI, security and governance. You’ll collaborate across business and tech teams, build reusable components, and drive scalable architecture