Senior Data Management Technical Analyst - Wealth R&D, VP

State Street•Boston, MA

About The Position

As a Senior Data Management Technical Analyst, you will play a pivotal role in designing, delivering, and scaling data models, analytics and management principals to power next-generation wealth management solutions. You will operate at the intersection of data engineering, analytics, and applied AI, translating complex business and research needs into robust, production-grade data solutions. This is a senior individual contributor role with strong business and technology design ownership. You will lead data-focused solution design across the full lifecycleâfrom data sourcing and modeling to analytics, visualization, security, and integration with AI/ML and application platforms. The role requires both hands-on technical depth and the ability to influence architecture, standards, and best practices across the Wealth R&D portfolio. About the Team The Wealth Research & Development (R&D) team is a strategic innovation hub focused on building next-generation wealth management solutions. We operate at the intersection of application engineering, AI-enabled capabilities, and human-centered design, rapidly designing, prototyping and validating solutions that can scale across the organization.

Requirements

Bachelorâs degree in Computer Science, Engineering, or a related technical field
Strong hands-on experience with data analysis and data engineering using Python
Expert level proficiency with relational data modeling and managing structured, semi-structured and non-structured data in an enterprise solution.
Experience building and maintaining data pipelines, analytics workflows, and data integrations
Strong experience supporting fullâstack applications for web and/or mobile platforms
Understanding of Python for backend development and data-driven services
Hands-on experience deploying and operating applications in the cloud (Microsoft Azure, AWS and/or Google Cloud Platform)
Experience with databases and data access (SQL and/or NoSQL)
Experience working with personal and confidential data
Experience working in a highly regulated financial services data environment

Nice To Haves

Masterâs or PhD in Computer Science, Data Science, Engineering, or a related technical field
5+ years of experience delivering production-grade web or mobile applications
Experience in financial services or other regulated environments
Experience with cloud-native architectures (microservices, serverless, managed services)
Experience integrating applications with AI/ML or LLM-powered services
Knowledge of CI/CD pipelines and infrastructure-as-code concepts
Experience designing, managing or building scalable backend services, APIs, and microservices
Experience with a broad range of data management tools and solutions including leading edge research on soon to be released solutions.
Strong problem-solving and analytical mindset
Ability to navigate data seamlessly across frontend, backend, and cloud infrastructure
Clear communication with both technical and nonâtechnical partners
Attention to detail in code designequirements, testing, security review, and documentation
Adaptability and curiosity in a fastâpaced, cloud-first innovation environment

Responsibilities

Lead the design and delivery of data-centric solutions that support analytics, AI/ML, and digital wealth use cases ensuring efficient data management and processing and maintaining a high level of data security and protection
Partner with product managers, researchers, and engineers to translate business questions into data requirements, models, and analytical outputs
Analyze, profile, and transform structured and semi-structured data to ensure high data quality, reliability, and usability
Define data models to support differentiated data requirements across the application clients
Define and document data models, metrics, and analytical logic used across dashboards, prototypes, and production systems
Develop analytics, dashboards, and exploratory analysis to surface insights and evaluate solution performance
Collaborate with application and AI teams to integrate data platforms with APIs, services, and AI/ML workflows
Evaluate and recommend technologies, frameworks, and tooling for data ingestion, analytics, governance, and observability
Document standards for managing personal, confidential and other sensitive information to ensure all data used and persisted is clearly understood in terms of use, persistence, masking and encrypting where appropriate.
Support proof-of-concept and pilot initiatives, while ensuring designs can scale to enterprise-grade, production solutions
Work with AI and Application Engineers to support data management for observability, telemetry and audit logs generated via the AI Agents to ensure efficient storage, rapid recall and assessment by surveillance and oversight services
Contribute to data standards, governance practices, and knowledge-sharing across the Wealth R&D organization

Benefits

Employees are eligible to participate in State Streetâs comprehensive benefits program, which includes: 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); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

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