GenAI Product Management & Governance Associate

474 MS Services Group, Inc.

New York (NY)

Hybrid

USD 145,000 - 150,000

Full time

14 days+
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Job summary

Morgan Stanley is seeking an Associate, Product Management in New York, NY to deploy GenAI-powered solutions and oversee governance for ethical use. You will collaborate with risk, legal, compliance, and audit teams across the firm to ensure safe and compliant GenAI deployments.

Expect a base pay range of $145,000–$150,000 plus bonuses and incentives, with telecommuting up to 2 days per week. This role emphasizes governance, risk management, and cross-functional execution.

Qualifications

  • Bachelor's degree in CS, IT, or related field required.
  • Four years of experience in Associate/Analyst/AI roles or similar.
  • Experience with Agile/JIRA, Kore.ai, SQL, API integration, cross-functional PM, PowerPoint, and Excel.
  • Three years with OpenAI Enterprise, Microsoft 365 GenAI, Agentic AI Orchestration, RAG, prompts, and data governance.

Responsibilities

  • Lead GenAI governance and control measures for ethical use.
  • Collaborate with BU Risk, Legal, Compliance, Audit on GenAI deployments.
  • Monitor risks and dependencies; drive end-to-end deployment lifecycle.
  • Communicate with stakeholders and support GenAI initiatives.

Skills

Agile / Jira
Kore.ai
SQL data reporting
API integration
Project coordination
PowerPoint
Excel data analysis

Education

Bachelor's degree in CS/IT or related

Tools

OpenAI Enterprise
Microsoft 365 GenAI
Agentic AI Orchestration
Retrieval-Augmented Generation
Prompt Engineering

Job description

Morgan Stanley is seeking an Associate, Product Management in New York, NY to deploy GenAI-powered solutions and oversee governance for ethical use. You will collaborate with risk, legal, compliance, and audit teams across the firm to ensure safe and compliant GenAI deployments.

Expect a base pay range of $145,000–$150,000 plus bonuses and incentives, with telecommuting up to 2 days per week. This role emphasizes governance, risk management, and cross-functional execution.

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