Platform Engineering Lead, VP

State Street•Quincy, MA

6d•Onsite

About The Position

We’re looking for a dynamic and forward-thinking leader who’s passionate about shaping the future of technology at scale. If you thrive at the intersection of innovation and execution, and enjoy turning cutting-edge trends into practical enterprise solutions, this role is for you. As a hands-on strategist, you’ll guide the development and evaluation of advanced capabilities across diverse business domains, while mentoring teams and influencing stakeholders. The ideal candidate brings a strong blend of technical depth and strategic vision, with a drive to build reusable frameworks, foster responsible practices, and cultivate a culture of experimentation and continuous learning.

Requirements

Solid understanding of modern data engineering concepts and emerging technologies
Experience with Python and relevant libraries such as FastAPI, PyTorch, TensorFlow, and Pandas; Java experience is a plus
Familiarity with distributed systems, orchestration tools, and API integration
Strong foundation in software engineering principles including OOPS, design patterns, data structures, and algorithms
Ability to manage and support multiple workflows or agents in parallel
Awareness of responsible technology principles and practices, including fairness, transparency, and safety
Experience building reusable components, libraries, and frameworks to accelerate development
Comfort using tools like Fiddler and Postman for API development and debugging
Deep understanding of fund accounting, custody, and reference data domains, with the ability to connect business concepts to scalable data architecture
Strong data modeling skills across positions, transactions, cash, income, securities, accounts, and party/reference data
Experience designing data lineage, data quality, reconciliation, and governance controls for regulated financial services platforms
Ability to balance domain knowledge, engineering discipline, platform reuse, and client delivery needs in architecture decisions
A proactive mindset with the ability to work independently and guide teams under general supervision
Overall 12 + years in IT delivery including 3+ years of hands-on experience in AI/ML and data engineering, with a strong foundation in enterprise-scale solution development
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

Nice To Haves

Java experience is a plus

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

Benefits

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)
eligibility for certain tax advantaged savings plans
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks