Research - Vice President, Research Technology Management (Lead Prompt Engineer) (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 strong 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.

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 feasibility, value, risk, scalability, and appropriate implementation approaches.   Design and develop AI-enabled solutions, workflows, prompts, and prototypes.   Develop and refine prompts and prompting strategies for centrally developed and deployed AI products.   Design and execute appropriate testing and evaluation methodologies.   Validate solutions for quality, reliability, usability, and compliance with applicable requirements.   Coordinate deployment and implementation.   Provide or coordinate ongoing production support, maintenance, enhancement, and optimization.   Comply with  appropriate lifecycle management for AI assets, including ownership, documentation, versioning, monitoring, review, and retirement where applicable.   Promote reusable and scalable solutions where common needs exist, reducing unnecessary duplication of AI assets across Research teams.   AI Use-Case Intake, Prioritization and Roadmap   Build and maintain strong relationships with Asia Pacific and Japan Research coverage teams to understand their workflows, priorities, challenges, and AI opportunities.   Establish a sustainable process for soliciting, documenting, retaining, assessing, and prioritizing AI requirements and use cases surfaced by Research teams globally.   Develop and maintain a transparent regional department-wide roadmap for AI enablement initiatives.   Execute against the agreed roadmap and communicate priorities, dependencies, progress, and changes to stakeholders.   Develop a consistent prioritization framework incorporating expected business value, user reach, implementation effort, technical feasibility, risk, strategic alignment, and potential for reuse.   Governance, Risk and Compliance   Comply with legal , compliance, risk, information-security, and AI governance processes required to introduce new AI assets and capabilities into Global Research.   Partner with firmwide modeling, governance, and control teams to