AI Product Management - Vice President

AI Product Management - Vice President Wealth Management Platforms We are seeking an innovative, driven professional to join us as Vice President, Artificial Intelligence Oversight and Governance, within our Product organization and part of Wealth Management Platforms team. This role will be accountable for end-to-end governance of AI-enabled product capabilities—especially agentic AI use cases, agent orchestration, and Retrieval-Augmented Generation (RAG) implementations—ensuring new AI use cases are properly intake-managed, risk-reviewed, prioritized by value, aligned to governance frameworks, and monitored post-production. This 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 widely adopted AI risk and governance frameworks and will incorporate LLM/agentic security considerations. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. Morgan Stanley is committed to helping its employees build meaningful careers and we strive to be a place for people to learn, achieve and grow. Department Overview In the Wealth Management division, we help people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals Wealth Management (WM) Platforms manages industry-leading platforms, across all WM channels and client segments, to provide a unified digital experience, unlock growth, and deliver efficiencies for Advisors, Clients, and Institutions. WM Platforms consists of ten sub-teams including: Field Experience & Platforms, Digital Client Experience & Platforms, Workplace Platforms, Automation & Workflow Solutions, Digital Trading & Investing, Generative AI, UX Design & Research, Strategy & Execution. Business Control & Support, and the Chief Operating Office. We know a lot about investing and are certain that there’s no better investment a company can make than in its employees. People don’t just drive a company; they are the company. When people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offering spans Equity, Financial Wellness and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits. Within Morgan Stanley, the Product team is responsible for a comprehensive B2B, B2C and B2B2C offering designed to help companies and their employees meet their financial goals, through trusted and modern workplace financial digital solutions, including Equity Edge Online by Morgan Stanley, E*Trade.com, Shareworks by Morgan Stanley, and more. The product team spans across the U.S, and Internationally, including Canada and India What you’ll do in the role: AI Use Case Intake, Triage, and Prioritization, including 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 stays on the highest-value agents while appropriately accounting for risk and governance requirements. Governance-by-Design for Agentic AI RAG inputs, including 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 we are aligned to firmwide AI governance and Data governance standards. Risk Management, Control Alignment, and Review Cadence, including operationalize AI risk management practices within our organization aligned to recognized firmwide frameworks. Align program design to AI management system concepts (policy/objectives, lifecycle controls, monitoring/performance evaluation, continual improvement). Ensure agentic/LLM security risks are addressed (e.g., prompt injection, insecure output handling, sensitive info disclosure, more), and integrate mitigations into product requirements and acceptance criteria. Production Readiness and Post-Launch Monitoring, including define and run an AI production readiness process that includes: 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. Supporting a recurring governance forum (or “AI review board” operating model), ensuring new use cases are reviewed, decisions are recorded, and exceptions are tracked with time-bound remediation. Stakeholder Management and Operating Model, including serve as the connective tissue across Product, Engineering, Data/ML, Security, Privacy, Legal, Compliance, and Platform teams. Clarify roles and decision rights (who approves what, when), reduce friction in delivery, and ensure teams can 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, 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, promote ideas and proposals persuasively. Expert proficiency with Excel, Word, Visio and PowerPoint required. 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 (e.g., prompt injection, sensitive info disclosure, access controls). Familiarity with model evaluation approaches and with governance artifacts needed for audits. Experience with regulated environments (financial services, preferred). Previous experience working with large or multi-national companies 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. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. New York Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). #J-18808-Ljbffr