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

Lead adoption, development, governance, and optimization of generative AI solutions for Global Research in Asia-Pacific and Japan division.

Own end-to-end AI enablement lifecycle: use case identification, solution design, testing, deployment, adoption, and support.

Collaborate with research, technology, data, governance teams to build scalable, compliant AI tools and maintain AI enablement roadmap.

Minimum 5 years relevant experience in financial services or related domains like investment banking, research, asset management, or fintech.

Strong understanding of financial markets, investment research workflows; demonstrated finance expertise required.

Hands-on Python skills plus 2-3 years practical experience with generative AI, large language models, and prompt engineering.

Project/product management experience, ability to translate business to technical requirements, excellent communication, and strong stakeholder management.

Experienced in both strategic AI enablement framework development and tactical AI solution design and implementation.

Able to bridge investment research domain and complex technical AI capabilities with governance and compliance awareness.

Proven ability to manage multiple initiatives globally, with strong collaboration skills across technical, research, and governance teams.