AI Lead - MSIM AI Team, Vice President, Investment Management

Division: Investment Management

Job Title: AI Lead - MSIM AI Team

Location: Mumbai

Job Level: Vice President/ Executive Director

Company Profile

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.

Department Profile

Morgan Stanley Investment Management (MSIM), together with its investment advisory affiliates, has $1.6 trillion in assets under management or supervision as of September 30,2025. Morgan Stanley Investment Management strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide.

Background on the Team

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 role will be based within the Office of COO team in IM India GC.

Position Overview:

We are looking for a skilled and passionate teammate to join us in the Innovation / AI team in Morgan Stanley with at least 8- 12 years of experience. The successful candidate will be responsible for partnering with business areas across MSIM to launch AI-based solutions - including Generative-AI. This role will liaise with and actively influence business areas, working with business functions (Portfolio Managers / Investment Teams / Sales & Marketing, Client Services and Risk professionals), control functions, central AI teams and support functions to accelerate the adoption of AI.

Key Responsibilities

Focus area ownership & delivery

• 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.

• 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.

• 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.

• Run pilots, collect structured feedback, and iterate on model/tool choices; stay current on MS-approved models and capabilities to fold into product strategy.

• Execute a focus area-level plan aligned to MSIM's objectives; monitor impact and provide regular updates to senior leaders.

• Preferred team management experience.

• Experience with and passion for Generative AI strategy, product management, experimentation, or innovation; strong grasp of AI concepts and technologies.
• Demonstrated ability to translate between business, control, and technology stakeholders; proven program/project management in fast-paced environments.
• Ability to thrive in con
• Excellent communication and leadership; strong analytical and problem-solving skills with attention to detail.
• Appreciation of trade-offs between vendor solutions vs. in-house build; experience with agile methods and tools (Scrum, JIRA).
• Bachelor's degree required.

• Adoption & Utilization: active users, repeat usage, training completion.
• Efficiency: cycle-time reductions, manual steps removed, throughput gains.
• Quality & Risk: accuracy/quality scores, rework rates, control incidents avoided.
• Business Impact: hours saved, cost savings, contribution to client value/revenue proxy.