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Gurugram, Haryana, India • Hybrid
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The role focuses on supporting AI capability and adoption through structured experimentation, prompt engineering, and workflow testing. Key duties include maintaining prompt libraries, providing coaching support, and prototyping AI workflows for the Centre of Excellence.
Candidates need 2-5 years of experience in analytics, digital enablement, or technology-adjacent roles. Proficiency in AI tools and a strong orientation toward experimentation and documentation are required.
Oliver Wyman is looking to bring onboard an experienced professional as an AI Product Enablement Analyst to join our IMEA (India, Middle East, South Africa) Quotient Inside Team!
The Quotient Inside AI Product Enablement Engineer supports the AI Capability & Adoption function through structured AI experimentation, prompt engineering, workflow testing, and enablement support. This role focuses on reliable execution, technical fluency, and consistent knowledge capture while developing deeper expertise in AI tools and workflows for the Oliver Wyman Centre of Excellence for Quotient Inside.
Working under the direction of the Quotient Inside Product Strategy leadership team and Director of AI Product Enablement, the Engineer contributes to coaching support, prompt refinement, custom GPT testing, and artifact creation that help scale responsible AI usage and adoption across the firm.
This is a hands-on contributor role that emphasizes experimentation, documentation, and quality delivery .
Support office hours and working sessions
Help translate user questions into structured AI prompts or Product Strategy team actions and backlog items
Guide colleagues toward appropriate resources and exemplars
Support AI coaching and respond to inbound questions.
Execute structured prompt testing and refinement across defined AI use cases the Centre of Excellence may own and manage
Support configuration and testing of custom GPTs and AI assistants for the Centre of Excellence
Validate outputs for clarity, consistency, safety, and usability
Build and maintain prompt libraries, living exemplars, and structured guides for the Centre of Excellence
Document tested use cases in reusable formats
Contribute technical examples and demos to training and enablement materials.
Assist in prototyping lightweight AI workflows under guidance
Identify basic technical constraints and escalate appropriately
Support experimentation across AI tools to assess feasibility and usage boundaries.
Track recurring questions and usage patterns
Share structured observations with the AI Product Strategy team leads
Contribute technical input to decks and enablement documentation.
2–5 years of experience in analytics, digital enablement, or technology-adjacent roles
Exposure to AI tools and interest in experimentation
Experience supporting documentation or analysis work in collaborative, cross functional environments.
AI tool fluency and prompt experimentation
Comfortable operating within defined processes
Curious and experimentation driven
Detail-oriented and reliable in execution
Analytical mindset and attention to detail
Clear written communication
Strong learning orientation.
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