Vice President, Client Segment Risk

Morgan Stanley

Vice President for AI Implementation Enablement in Wealth Management overseeing implementation and supervision of AI workflows. Consulting on high-impact use cases, ensuring compliance and metrics of AI capabilities.

Posted 7/9/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $120,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML and LLM-enabled solutions, focusing on project delivery, stakeholder engagement, and the development of governance frameworks. Strong analytical and organizational skills are essential for managing risk and compliance in AI initiatives.

Highest-signal resume keywords

AI/ML Solution DeliveryHuman-in-the-Loop Review SystemsRisk and Compliance ExperienceStakeholder EngagementAI Governance Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Use Case IdentificationModel DevelopmentQuality Metrics DefinitionRisk Metrics DefinitionProject Management

Soft Skills

Analytical SkillsAttention to DetailOrganizational SkillsPlanning SkillsTime Management

Tools & Technologies

AI Governance ArtifactsTesting TemplatesReusable Playbooks

Industry Keywords

Risk ManagementComplianceRegulatory ExperienceStakeholder EngagementAI Content Performance Monitoring

About the role

Key responsibilities & impact

Consult with the business to identify high-impact AI use cases
Manage the CSR AI use case intake and prioritization process
Define adoption, quality, and risk metrics
Act as a consultant for the design and buildout of AI/LLM-enabled capabilities
Collaborate across functions to define controls
Partner on AI governance execution for CSR use cases
Develop reusable playbooks, testing templates, and governance artifacts
Manage project delivery, stakeholder engagement
Monitor AI content performance and risk indicators

Requirements

What you’ll need

Experience delivering, integrating, or operationalizing AI/ML or LLM-enabled solutions
Hands-on model development experience is a plus
Experience implementing human-in-the-loop review systems
Strong ability to explain AI outputs and risks to non-technical stakeholders
Prior Risk, Compliance, or Regulatory experience (minimum 2 years)
Excellent analytical skills with strong attention to detail
Strong organizational, planning, and time management skills

Benefits

Comp & perks

Attractive and comprehensive employee benefits and perks
Work-life balance support
Professional development opportunities