02 Oct
|
Morgan Stanley
|
Mumbai
02 Oct
Morgan Stanley
Mumbai
Vice President, AI Enablement Lead
Research Technology Management | Global Research | Morgan Stanley
Position Overview
Morgan Stanley Global Research is seeking a Vice President to serve as AI Enablement Lead within the Research Technology Management (RTM) Asia-Pacific The AI Enablement Lead will be responsible for driving the practical adoption, development, governance, and optimization of generative AI and related AI capabilities across Global Research’s Asia-Pacific and Japan division.
The role will operate at the intersection of Research, technology, data, AI/modeling, product management, training, and governance.
The AI Enablement Lead will be responsible for translating the needs of Asia Pacific and Japan Research analysts and teams into scalable, compliant, high-value AI solutions. The role will oversee the complete enablement lifecycle—from identifying and prioritizing use cases through requirements definition, solution development, evaluation, deployment, adoption, measurement, and ongoing support.
The successful candidate will combine a robust understanding of financial services and investment research workflows with hands-on AI and technical capabilities, product and project management skills. The individual must be comfortable operating both strategically and tactically: establishing an AI enablement framework and roadmap for the department while also contributing directly to solution design, prompt development, testing, evaluation, and implementation.
Key Responsibilities
AI Solution Development and Lifecycle Management
Oversee the development of regional department-wide, sector/industry-specific, asset-class-specific, and team- or analyst-specific solutions across supported AI tools and platforms.
Responsibilities will span the complete solution lifecycle, including:
- Identify, solicit, collect, and document business problems, ideas, and AI use cases.
- Translate business needs into clear functional and technical requirements.
- Assess feasi
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