AI Product Manager MSIM Vice President

Morgan Stanley•New York, NY

About The Position

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. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Morgan Stanley Investment Management (MSIM) is one of the largest global asset management organizations of any full-service securities firm, with 45 offices serving clients in 19 countries. MSIM's professionals worldwide provide outstanding long-term investment performance. We offer clients a diverse array of equity, fixed income, liquidity, and alternative investments, including merchant banking strategies. The Data & Analytics team works closely with MSIM's teams as well as related control and support departments to enhance, streamline and govern the flow of information as part of our ongoing relationships with our clients and our management of client assets. This is a critical activity to enable scalable growth of our business. A key focus area of the team is the enablement of AI in MSIM with the goals to drive client impact, profitability, cost efficiency and scale. Position Overview: We are looking for a skilled and passionate teammate to join us in the Data and Analytics team at Morgan Stanley. The successful candidate will be responsible for partnering with business areas across MSIM to launch AI-based solutions. This role will liaise with and actively influence business areas, working with Investment Teams, Sales & Marketing, Client Services, Control functions, Central AI teams and support functions to accelerate the adoption of AI.

Requirements

Demonstrated experience in delivering AI products and solutions
Experience with and passion for AI experimentation and innovation
Self-starter with the ability to work independently and as part of a team to leverage their network and knowledge base to define abstract concepts from inception
Demonstrated track record of effective partnership with and translation between business teams, control partners and IT
Ability to manage multiple projects simultaneously in a fast-paced environment.
Proven experience in program or project management
Strong understanding of artificial intelligence concepts and technologies.
Excellent communication, interpersonal and leadership skills.
Solid analytical and problem-solving abilities with a keen attention to detail
Appreciation of trade-offs when choosing between vendor solutions versus building in-house
Experience with agile development methodologies and tools (Scrum, JIRA, etc.)

Responsibilities

Lead implementation for the assigned AI focus area; create clear roadmaps, milestones, and stakeholder alignment to deliver business outcomes.
Serve as the expert user of the focus area's AI tool(s); design and deliver training, office hours, and playbooks to achieve full utilization.
Define KPIs and operate a continuous feedback loop with users; recommend improvements or pivots (including vendor vs. build decisions) to track and maximize ROI.
Adoption & stakeholder partnership Build, manage, prioritize, and track AI business cases from inception to delivery; act as primary liaison between MSIM teams and Firmwide AI teams.
Actively engage with business teams to define business case, engineer prompts, prototype agents and partner with tech to deliver solutions.
Liaise with and influence business areas (e.g., portfolio managers/investment teams), control partners, and support functions to accelerate adoption.
Governance & controls Ensure all AI projects adhere to regulatory and compliance standards in close partnership with Legal, Risk, and Compliance; lead AI use cases through AI governance process; document lineage and usage within the control framework.
Experimentation & product strategy Run pilots, collect structured feedback, and iterate on model/tool choices; stay current on MS-approved models and capabilities to fold into product strategy.
Strategic planning & reporting Execute a focus area-level plan aligned to MSIM's objectives; monitor impact and provide regular updates to senior leaders.

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