AI Implementation Enablement – Client Segment Risk Vice President

About the role

Morgan Stanley is seeking a Vice President to join Client Segment Risk (CSR), a team that partners across Wealth Management to efficiently mitigate risk by applying sound judgment and providing consistent, trusted advice aligned with Firm values and strategy.

Responsibilities

• Consult with the business to identify high-impact AI use cases and develop product strategies for AI-enabled capabilities across Client Segment Risk.
• Manage the CSR AI use case intake and prioritization process, maintaining a consolidated pipeline/portfolio of initiatives, assessing viability/utility, and driving prioritization decisions in partnership with business owners.
• Define adoption, quality, and risk metrics to measure whether AI-enabled capabilities are improving consistency, efficiency, and control outcomes.
• Act as a consultant for the design and buildout of AI/LLM-enabled capabilities to improve efficiency and consistency in supervisory processes, while maintaining adherence to Firm and regulatory requirements.
• Collaborate across functions to define controls for prompt design, output review, disclosure, and auditability of AI-generated content and decisions.
• Partner on AI governance execution for CSR use cases, including determining the appropriate governance pathway, coordinating submissions, driving artifact completion, and managing approvals and residual risk acceptance with stakeholders.
• Develop reusable playbooks, testing templates, prompt evaluation criteria, rollout materials, and governance artifacts to accelerate delivery across CSR use cases.
• Manage project delivery, stakeholder engagement, and integration of AI tools into existing risk workflows, coordinating with business partners, Legal, Compliance, Technology, and Risk teams to ensure successful adoption and alignment.
• Monitor AI content performance and risk indicators to ensure responsible AI principles are embedded.

Requirements

• Experience delivering, integrating, or operationalizing AI/ML or LLM-enabled solutions in real-world workflows, either as a product owner, implementation lead, governance lead, risk partner, or technology partner.
• Hands-on model development experience is a plus.
• Experience implementing human-in-the-loop review systems and designing workflow user experiences that support oversight and control.
• Strong ability to explain AI outputs and risks to non-technical stakeholders and collaborate effectively across multiple functions.
• Prior Risk, Compliance, or Regulatory experience (minimum 2 years).
• Excellent analytical skills with strong attention to detail.
• Exceptional interpersonal, communication, and persuasion skills.
• Strong organizational, planning, and time management skills to manage competing priorities in a fast-paced environment.

Qualifications

• Undergraduate degree or equivalent professional experience.
• Demonstrated proficiency with Generative Artificial Intelligence tools and AI risk management frameworks.
• Proficiency with Microsoft Office suite.