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

Overview

Morgan Stanley Global Research is seeking a Vice President to serve as AI Enablement Lead within Research Technology Management (RTM) Asia-Pacific, driving the adoption, development, governance and optimization of generative AI and related AI capabilities across the Asia-Pacific and Japan Research division.

What you'll do

• Oversee the development of regional, sector-specific, asset-class-specific, and team- or analyst-specific AI solutions across supported AI tools and platforms, spanning the full solution lifecycle.
• Identify, solicit, collect and document business problems, ideas and AI use cases.
• Translate business needs into clear functional and technical requirements, and assess feasibility, value, risk, scalability and implementation approach.
• Design and develop AI-enabled solutions, workflows, prompts and prototypes, and develop and refine prompting strategies for centrally developed and deployed AI products.
• Design and execute testing and evaluation methodologies, and validate solutions for quality, reliability, usability and compliance.
• Coordinate deployment and implementation, and provide or coordinate ongoing production support, maintenance, enhancement and optimization.
• Manage lifecycle of AI assets, including ownership, documentation, versioning, monitoring, review and retirement where applicable, and promote reusable solutions to reduce duplication.
• Build and maintain relationships with Asia Pacific and Japan Research coverage teams to understand their workflows, priorities, challenges and AI opportunities.
• Establish a process for soliciting, documenting, assessing and prioritizing AI requirements and use cases from Research teams globally, and develop and maintain a transparent regional roadmap for AI enablement initiatives.
• Develop a consistent prioritization framework incorporating business value, user reach, implementation effort, technical feasibility, risk, strategic alignment and potential for reuse.
• Comply with legal, compliance, risk, information-security and AI governance processes, and partner with firmwide modeling, governance and control teams.
• Embed governance, control, data-handling, entitlements and human-review considerations into AI solution design from inception, and maintain documentation and auditability of AI enablement activities, decisions, evaluations and approvals.
• Coordinate with firmwide technology teams responsible for AI platforms, infrastructure and tool rollouts, and with development, data, modeling, technology support and analytics teams.
• Act as a bridge between Research users and technical teams, translating investment-research requirements into technology requirements and technical capabilities into practical Research applications.
• Collect, analyze and report usage data for AI Enablement-supported tools and initiatives, monitor adoption, and use data and feedback to inform roadmap priorities, training needs and solution enhancements.

What you'll need

• At least 5 years of relevant professional experience, preferably within financial services (investment banking, investment research, asset management, financial technology, or financial-data providers).
• Strong understanding of financial markets, financial analysis and investment research workflows.
• Academic background in finance, economics, business, computer science, engineering or a related discipline; demonstrated finance expertise is required.
• Strong hands-on Python capabilities.
• Minimum 2–3 years of practical experience with generative AI, large language models, prompt engineering or related AI technologies.
• Demonstrated ability to design, develop, test and improve prompts and AI-enabled workflows.
• Understanding of AI/LLM evaluation methodologies and the ability to translate evaluation concepts into practical testing frameworks.
• Demonstrated project and/or product management experience.
• Experience with data, data analytics, and usage/performance reporting.
• Ability to translate business requirements into functional and technical requirements.
• Excellent written and verbal communication skills, including communicating technical AI concepts to non-technical audiences.
• Strong stakeholder-management and relationship-building capabilities.
• Ability to operate effectively and independently, and to manage multiple priorities and initiatives in a complex, global organization.

Details

• Location: Mumbai, Maharashtra, India.