Data Engineering and Development VP
2001 SSB&T
A complete application in a minute
Tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
State Street Corp is seeking a Data Engineering Lead to shape the future of data platforms at scale. You will guide design and evaluation of advanced capabilities across fund accounting, custody, and reference data domains while mentoring teams and aligning stakeholders.
Ideal candidates blend technical depth with strategic vision, building reusable frameworks and advocating responsible AI practices for enterprise data solutions.
Qualifications
- 12+ years IT delivery including 3+ years in AI/ML and data engineering.
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or related field.
- Strong hands-on expertise in Python, Apache Spark, PySpark and Databricks for large-scale data processing.
- Experience designing, deploying and evaluating ML/AI models using OpenAI, Hugging Face, Azure OpenAI and LangChain.
- Solid understanding of AI evaluation frameworks, responsible AI practices, and scalable libraries.
- Effective communicator with cross-functional stakeholders in regulated environments.
Responsibilities
- Lead design, development, and deployment of data solutions across use cases like document processing, intelligent agents, and automation frameworks.
- Collaborate with cross-functional teams to translate business needs into data-driven workflows using 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 with clear lineage.
- Model complex investment data concepts (NAV, positions, transactions, cash, income, corporate actions, securities, accounts, party data).
- Establish scalable data models, integration standards, and quality controls for accounting, reconciliation, and regulatory reporting.
- Drive architecture decisions balancing domain knowledge, governance, performance, security, and reuse.
Skills
Education
Tools
Job description
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.
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
As Data Engineering Lead you will:
- 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
- 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
- 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, 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
Work Requirement John Adams Building, North Quincy, MA 9 to 5 PM EST
Salary Range: $120,000 - $217,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
- 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
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
