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

State Street

Actively hiring
US Posted 59 days ago $120,000$202,500 / year

At a glance

AI generated

TL;DR

As a Senior Data Management Technical Analyst at the Wealth Research & Development team, you will lead the design and delivery of data-centric solutions that support analytics, AI/ML, and digital wealth use cases. Your day-to-day responsibilities include translating complex business needs into robust data models and analytical outputs, ensuring high data quality and security. You will work closely with product managers, researchers, and engineers to develop data pipelines, analytics workflows, and integrations, while also evaluating and recommending technologies for data ingestion, governance, and observability. The role requires expertise in Python, relational data modeling, cloud deployment, and databases, as well as experience working in a highly regulated financial services environment. You will contribute to data standards and knowledge-sharing across the Wealth R&D organization, supporting proof-of-concept initiatives that scale to enterprise-grade solutions.

Skills

Python AWS Azure Google Cloud Platform SQL NoSQL CI/CD Terraform Kubernetes Microservices Serverless Docker PostgreSQL Snowflake Apache Spark Airflow Git Jenkins Prometheus Grafana

What you'll do

  • Lead the design and delivery of data-centric solutions for analytics, AI/ML, and digital wealth use cases.
  • Translate business questions into data requirements, models, and analytical outputs in collaboration with product managers and engineers.
  • Analyze and transform structured and semi-structured data to ensure high quality, reliability, and usability.
  • Define and document data models and metrics used across dashboards, prototypes, and production systems.
  • Develop analytics, dashboards, and exploratory analysis to surface insights and evaluate solution performance.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or related technical field.
  • Expert proficiency in relational data modeling and managing various types of enterprise data.
  • Strong hands-on experience with Python for data analysis and backend development.
  • Experience building and maintaining complex data pipelines and analytics workflows.
  • Hands-on deployment and operation of applications in major cloud platforms (Azure, AWS, GCP).
  • Understanding of databases and data access technologies including SQL and NoSQL.
  • Experience working with personal and confidential data in a regulated financial services environment.

Market check

Salary context

This $120,000–$202,500 range sits above 46% of similar postings on FindRole.

Peer median band

$117,000$211,080

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$134,725$199,800

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 134 open roles on FindRole.

Listed pay typically runs $110,000–$180,000 across 131 roles with salary data.

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