Global Head of AI and ML Field Development, Engineering and Data Science, SVP

State Street

Quick summary

Work type
On-site
Location
Boston, MAPrinceton, NJQuincy, MAClifton, NJ
Salary
$225,000–$337,500 / yr
Posted
2 days ago
Closes
Jul 31, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $281k
$162k most similar roles pay here $356k

This role pays more than 88% of similar roles. Most pay $201,200–$249,750 — the shaded band above. At the midpoint, this role pays about $281k versus about $225k for comparable roles.

Based on 240 similar postings.

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 156 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 152 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Global Head of AI and ML Field Development, Engineering and Data Science, SVP

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As the Head of AI & ML Field Deployment Engineering & Data Science at a leading financial services firm, you will lead a global team responsible for developing and deploying advanced AI, machine learning, and data science solutions that drive real business outcomes across various lines of business. Your day-to-day involves partnering with investment services, wealth management, and other critical departments to deliver model-driven insights and predictive capabilities embedded into workflows. You must have strong technical expertise in machine learning, statistical modeling, and production deployment, along with senior leadership experience in large-scale enterprise environments. Success is measured by the adoption of AI platforms, model deployment at scale, and tangible business results delivered through data science initiatives.

Skills

Python Java Scala R TensorFlow PyTorch Kubernetes Docker AWS Azure CI/CD PostgreSQL MongoDB Snowflake Apache Spark Git Jenkins Prometheus Grafana MLflow Airflow

What you'll do

  • Lead global organization of data scientists and ML engineers to develop AI solutions.
  • Partner with business teams to deploy models into production environments.
  • Ensure alignment of AI solutions with enterprise strategy and business KPIs.
  • Drive adoption of enterprise AI platforms for effective model development.
  • Promote reuse of analytical assets to accelerate time to value across teams.
  • Establish best practices for model lifecycle management and deployment.

What we're looking for

  • Extensive senior leadership experience in AI/ML engineering or data science roles.
  • Proven track record of delivering measurable business outcomes through AI and data science.
  • Strong technical expertise in machine learning, statistical modeling, and production deployment.
  • Experience leading global teams aligned with business domains and strategic initiatives.
  • Deep understanding of financial services or complex enterprise environments preferred.
  • Ability to partner effectively with business stakeholders for solution development.

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