Overview Wealth Management Platforms – Vice President, Artificial Intelligence Oversight and Governance. This role is within the Product organization and part of the Wealth Management Platforms team. The role is accountable for end-to-end governance of AI-enabled product capabilities, including agentic AI use cases, agent orchestration, and Retrieval-Augmented Generation (RAG) implementations. Responsibilities include intake management, risk review, prioritization by value, alignment to governance frameworks, and post-production monitoring. The PM Lead will work cross-functionally with Product, Engineering, Data/ML, Security, Risk/Compliance, Legal/Privacy, and platform teams to operationalize trustworthy, secure, and compliant AI practices at scale, while enabling teams to deliver high-value AI agents quickly and safely. The program will be grounded in AI risk and governance frameworks and will incorporate LLM/agentic security considerations. What You’ll Do In The Role AI Use Case Intake, Triage, and Prioritization: establish and operate an AI use case intake workflow (new agents, agent enhancements, model changes, new RAG inputs, new tools/actions, new prompts/policies). Build and maintain a prioritized roadmap of AI agent opportunities, ensuring delivery focus on high-value agents while accounting for risk and governance requirements. Governance-by-Design for Agentic AI RAG inputs: partner with engineering and data teams to embed governance controls into the AI delivery lifecycle (requirements, build, test, launch, monitor). Define oversight patterns for agent orchestration (tool access, action permissions, escalation/human-in-the-loop checkpoints, auditability, fallback behavior). Ensure alignment to firmwide AI governance and Data governance standards. Risk Management, Control Alignment, and Review Cadence: operationalize AI risk management practices within the organization aligned to recognized firmwide frameworks. Align program design to AI management system concepts (policy/objectives, lifecycle controls, monitoring/performance evaluation, continual improvement). Address agentic/LLM security risks (e.g., prompt injection, insecure output handling, sensitive information disclosure) and integrate mitigations into product requirements and acceptance criteria. Production Readiness and Post-Launch Monitoring: define and run an AI production readiness process including evaluation sign-off, privacy/security review, model/tooling change management, and operational runbooks. Establish post-launch monitoring requirements: quality metrics, safety metrics, drift signals, abuse signals, incident response playbooks, and periodic re-review. Support a recurring governance forum (AI review board) operating model: ensure new use cases are reviewed, decisions recorded, and exceptions tracked with time-bound remediation. Stakeholder Management and Operating Model: serve as the connective tissue across Product, Engineering, Data/ML, Security, Privacy, Legal, Compliance, and Platform teams. Clarify roles and decision rights to reduce friction in delivery and enable teams to move fast without bypassing controls. Produce clear executive-ready reporting: roadmap, risk posture, incidents, governance throughput (cycle time), and outcomes. Skills Required 7+ years of Product Management experience, including leading cross-functional platform or governance programs. Demonstrated experience delivering AI/ML or LLM-enabled product capabilities in production. Hands-on familiarity with agentic AI patterns and orchestration concepts (tools/actions, planning/execution loops, guardrails, human-in-the-loop design). Proven track record working across engineering and data/ML teams to ship complex systems with measurable outcomes. Strong ability to translate risk, controls, and policy requirements into product requirements and delivery workflows. Sets and carries out objectives, and fosters a culture of performance and continuous improvement. Excellent partnering skills; proven ability to collaborate with various levels of employees. Enjoys building initiatives from the ground-up and delivering on complex projects. Excellent communication skills and a proven ability to develop rapport and credibility across the organization, promoting ideas persuasively. Expert proficiency with Excel, Word, Visio and PowerPoint. Positive contributor to our team’s culture. Experience operationalizing or mapping to AI governance/risk frameworks. Experience partnering with Security and Risk teams on LLM/agentic security risks (prompt injection, sensitive information disclosure, access controls). Familiarity with model evaluation approaches and governance artifacts needed for audits. Experience with regulated environments (financial services, preferred). Previous experience working with large or multi-national companies is helpful. What You Can Expect From Morgan Stanley At Morgan Stanley, we raise, manage and allocate capital for our clients, helping them reach their goals. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide decisions to benefit clients, communities, and our 80,000+ employees in 1,200 offices across 42 countries. We offer opportunities to work with the best and brightest in an empowering environment, with a culture of collaboration and creativity. We also provide comprehensive employee benefits and opportunities for career growth. To learn more about our offices across the globe, please copy and paste into your browser. Compensation and Employment Details New York. Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. Base pay is individualized and may be supplemented by commission, incentives, discretionary bonuses, and other Morgan Stanley sponsored benefits. We are committed to equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, national origin, disability, marital status, veteran status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer. #J-18808-Ljbffr