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 capabilitiesespecially agentic AI use cases agent orchestration and Retrieval-Augmented Generation (RAG) implementationsensuring 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 scalewhile 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 Firms employees serve clients worldwide including corporations governments and individuals from more than 1200 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 theres no better investment a company can make than in its employees. People dont 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* Shareworks by Morgan Stanley and more. The product team spans across the U.S and Internationally including Canada and India

What youll 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 teams 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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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New York

Expected base pay rates for the role will be between $110000 and $190000 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 Stanleys 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).