Oliver Wyman - AI Product Enablement Analyst - Singapore

SG009 Oliver Wyman Singapore Pte Ltd; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

Oliver Wyman Singapore Pte Ltd seeks an Inside AI Product Enablement Engineer to advance AI experimentation, prompt engineering, and workflow testing within the Quotient Inside Centre of Excellence. You will build reusable prompts, assist in testing custom GPTs, and deliver technical exemplars for coaching and enablement.

The role emphasizes structured documentation, coaching support, and proactive collaboration with Product Strategy teams to scale responsible AI usage across the firm.

Qualifications

• 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

Responsibilities

• AI Experimentation & Prompt Engineering: run structured prompt tests, refine prompts, validate outputs for clarity and safety.
• Workflow Prototyping & Technical Support: assist in prototyping lightweight AI workflows and identify constraints.
• Documentation & Living Exemplars: build prompt libraries, living exemplars, and reusable guides.
• Coaching Support & Community Engagement: support office hours, translate questions into prompts, guide colleagues to resources.
• Pattern Awareness & Feedback: track recurring questions, share observations with AI strategy leads, contribute to enablement materials.

Skills

AI tool fluency

Prompt experimentation

Documentation

Analytical mindset

Clear written communication

Job description

Company:

Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, the firm combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organizational transformation. Oliver Wyman works with CEOs and executive teams of leading global organizations to drive lasting impact.

Visit our website for more details about Oliver Wyman: www.oliverwyman.com

Job Overview

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.

Key Responsibilities :

AI Experimentation & Prompt Engineering

• 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

Workflow Prototyping & Technical Support

• Assist in prototyping lightweight AI workflows under guidance
• Identify basic technical constraints and escalaten appropriately
• Support experimentation across AI tools to assess feasibility and usage boundaries

Documentation & Living Exemplars

• 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

Coaching Support & Community Engagement

• 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

Pattern Awareness & Feedback

• Track recurring questions and usage patterns
• Share structured observations with the AI Product Strategy team leads
• Contribute technical input to decks and enablement documentation

Experience Required

- 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

Skills and Attributes

• - 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

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visitoliverwyman.com, or follow us onLinkedInandX.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.