VP AI Product Management

State Street

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$120,000–$202,500 / yr
Posted
10 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $161k
$106k most similar roles pay here $253k

This role pays less than 77% of similar roles. Most pay $167,375–$238,450 — the shaded band above. At the midpoint, this role pays about $161k versus about $203k 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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · VP AI Product Management

Role Posting Log in to save

AI Product Management, VP II - State Street Investment Management joins the Data, Analytics and AI Services team to bridge business functions and engineering teams. This role involves translating complex business workflows into scalable AI product capabilities across investment, product, client, finance, and operations functions. The successful candidate will identify pain points, manage roadmaps using Agile methodologies, and oversee the delivery of reusable feature sets while coordinating with onshore and offshore data science and financial engineering teams. Key technical requirements include expertise in machine learning, generative AI, and agentic AI, specifically involving multi-agent workflows and human-on-the-loop patterns. The role requires proficiency in Python, SQL, Google Gemini Enterprise, AWS Bedrock, Anthropic Claude Code, and GitHub Copilot. The work focuses on solving investment management challenges by integrating advanced AI technologies into core financial service offerings.

Skills

Machine Learning Generative AI Agentic AI Python SQL AWS Bedrock Google Gemini Enterprise Anthropic Claude Code GitHub Copilot Agile Multi-agent Workflows Data Science Financial Engineering

What you'll do

  • Identify business pain points and opportunities to reimagine workflows through integrated AI capabilities.
  • Translate complex business problems into scalable AI product lines and reusable feature sets.
  • Analyze competitor and fintech offerings to inform the firm's AI product roadmap.
  • Lead AI product implementation using Agile methodologies to manage roadmaps and delivery milestones.
  • Review and validate technical deliverables from engineering and data science teams to ensure high-quality outcomes.
  • Demonstrate new capabilities and communicate release milestones and business impact to stakeholders.
  • Coordinate daily execution across onshore and offshore engineering, data science, and financial engineering teams.

What we're looking for

  • Master’s degree in computer science, engineering, finance, or a related quantitative discipline.
  • 15+ years of experience in asset management across areas like portfolio management, trading, sales, or operations.
  • 10+ years of product management experience in the asset management industry.
  • 6+ years of AI engineering or adjacent AI-related experience including machine learning and generative AI.
  • 5+ years of experience leading technology-enabled transformation initiatives in complex environments.
  • Hands-on experience designing multi-agent workflows, human-on-the-loop patterns, and autonomous agentic workflows.
  • Proficiency with Python, SQL, and platforms like Google Gemini Enterprise or AWS Bedrock.
  • CFA Level II completion or equivalent certification is preferred.

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