Platform Engineering VP — Data & AI Transformation Lead

State Street Corporation; Quincy (MA); On-site; USD 120,000 - 218,000; Full time

Benefits offered by this job

401K with company match

Life/Medical/Dental/Vision insurance

Paid time off

Employee Assistance Program

Performance-based awards

Job summary

State Street Corporation is seeking a Data Engineering Lead to shape technology at scale. You will guide advanced capabilities across diverse domains, mentor teams, and build reusable frameworks to accelerate adoption.

Responsibilities include defining data architecture for fund accounting, custody, and reference data, modeling complex investment data, ensuring data quality, security, and governance while balancing domain knowledge with engineering discipline.

Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field.
• Overall 12 years in IT delivery including 3 years of hands-on experience in 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

Python

FastAPI

PyTorch

TensorFlow

Pandas

Java

Distributed systems

Orchestration tools

APIs

OOP

Design patterns

Data modeling

Fiddler

Postman

AI/ML

LangChain

Education

Bachelor's degree or higher in CS/Engineering/Math

Tools

OpenAI

Hugging Face

Azure OpenAI

LangChain

Apache Spark

PySpark

Databricks

Fiddler

Postman

Job description

State Street Corporation is seeking a Data Engineering Lead to shape technology at scale. You will guide advanced capabilities across diverse domains, mentor teams, and build reusable frameworks to accelerate adoption.

Responsibilities include defining data architecture for fund accounting, custody, and reference data, modeling complex investment data, ensuring data quality, security, and governance while balancing domain knowledge with engineering discipline.