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Oliver Wyman - AI Product Enablement Analyst - Singapore

Oliver Wyman Group · Singapore

About this role

The AI Product Enablement Analyst supports Oliver Wyman’s AI Capability & Adoption function and its Centre of Excellence for Quotient Inside. Working under the Quotient Inside Product Strategy leadership team and Director of AI Product Enablement, this hands-on contributor helps scale responsible AI usage through experimentation, prompt refinement, workflow testing, documentation and colleague support.

Responsibilities

  • Test and refine prompts for defined AI use cases; help configure and test custom GPTs and AI assistants; and validate outputs for clarity, consistency, safety and usability.
  • Assist with lightweight AI workflow prototypes, identify and escalate technical constraints, and test AI tools to assess feasibility and usage boundaries.
  • Maintain prompt libraries, reusable use-case documentation, living exemplars and structured guides. Contribute examples and demos to training materials.
  • Support office hours, working sessions and AI coaching. Translate colleagues’ questions into structured prompts or actions and backlog items for the Product Strategy team, and direct users to relevant resources.
  • Track recurring questions and usage patterns, share observations with AI Product Strategy leads, and provide technical input for presentations and enablement documentation.

Requirements

2–5 years of experience in analytics, digital enablement or technology-adjacent roles; exposure to AI tools and an interest in experimentation; and experience with documentation or analysis in collaborative, cross-functional environments. The role calls for AI tool fluency, prompt experimentation, analytical thinking, attention to detail, reliable execution within defined processes, clear written communication and a strong learning orientation.

Working arrangement: Hybrid in Singapore. Marsh colleagues are expected to work in their local office or onsite with clients at least three days per week; office-based teams also identify at least one weekly in-person team anchor day.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Prompt engineeringAI tool experimentationCustom GPTsAI assistantsAI workflow prototypingOutput validationPrompt library developmentDocumentationAnalyticsAI coachingCross-functional collaborationWritten communication

Your skill match

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Test prompts and validate outputs

    The role runs structured prompt tests for defined use cases, helps test custom GPTs and AI assistants, and checks outputs for clarity, consistency, safety and usability.

  • Assess lightweight AI workflows

    The role assists with workflow prototypes under guidance, tests AI tools for feasibility and usage boundaries, and identifies technical constraints for escalation.

  • Make experiments reusable

    The Centre of Excellence needs maintained prompt libraries, living exemplars, structured guides and documented use cases, plus examples and demos for enablement materials.

  • Support colleagues’ AI use

    The role supports office hours, working sessions and coaching; turns questions into structured prompts or Product Strategy actions and backlog items; and directs colleagues to relevant resources.

  • Feed usage patterns into product strategy

    The role tracks recurring questions and usage patterns, shares structured observations with AI Product Strategy leads, and contributes technical input to presentations and documentation.

Likely challenges to think through

  • Balancing useful outputs with responsible use

    Preparation hypothesis: A prompt may produce a helpful answer without being consistent or safe enough to reuse. Prepare to explain how you would test a defined use case against clarity, consistency, safety and usability, then record revisions and remaining limitations.

  • Keeping prototypes within tested boundaries

    Preparation hypothesis: A lightweight workflow may work in a narrow test but encounter technical constraints when extended. Prepare to distinguish what a test demonstrated from what remains uncertain, and explain when you would escalate rather than overstate feasibility.

  • Turning individual requests into reusable support

    Preparation hypothesis: Responding quickly in office hours can compete with documenting patterns that help more colleagues. Prepare an approach for resolving the immediate question, capturing a useful exemplar or guide, and passing recurring needs to Product Strategy as actionable observations.

03

Practice your answers

Technical practice

How would you test and refine a prompt for a defined AI use case?

What to coverThe role includes structured prompt testing and refinement. Suggested preparation: Explain how you would define the task and success criteria, compare prompt variants on representative inputs, and record both improvements and failures.

How would you test a custom GPT or AI assistant before colleagues use it?

What to coverThe posting calls for supporting configuration and testing of custom GPTs and AI assistants. Suggested preparation: Describe checks against its intended use, including whether it follows instructions consistently and handles unclear or unsuitable requests appropriately.

How would you validate an AI output for clarity, consistency, safety, and usability?

What to coverThese four qualities are explicitly named as output-validation concerns. Suggested preparation: Discuss concrete checks for each, how you would document a problematic output, and when you would withhold it for further review.

How would you prototype a lightweight AI workflow under guidance?

What to coverThe role assists with lightweight workflow prototypes. Suggested preparation: Describe how you would map the inputs, AI-assisted step, human review, and expected output, then test whether the workflow is useful without overstating what the prototype proves.

How would you identify and escalate a technical constraint during workflow testing?

What to coverIdentifying basic constraints and escalating them appropriately are stated duties. Suggested preparation: Explain how you would reproduce the issue, capture its effect on the use case, distinguish an observation from a diagnosis, and give the relevant lead a clear decision point.

How would you compare AI tools for a proposed use case?

What to coverThe posting calls for experimentation across AI tools to assess feasibility and usage boundaries. Suggested preparation: Compare results on the same defined task, noting output quality, practical limitations, and where human review or further guidance would be needed.

What would make a prompt-library entry or tested use-case guide reusable?

What to coverThe role maintains prompt libraries, living exemplars, and structured guides. Suggested preparation: Explain how you would capture purpose, inputs, prompt, expected output, tested variations, limitations, and guidance for adapting the example.

How would you turn a tested use case into a useful training demo?

What to coverContributing technical examples and demos to enablement materials is part of the work. Suggested preparation: Outline a short demonstration that shows the task, prompt choices, output review, and a limitation colleagues should understand.

How would you translate a colleague’s AI question into a prompt or backlog item?

What to coverThe role helps turn user questions into structured prompts or actions for the Product Strategy team. Suggested preparation: Describe how you would clarify the desired outcome, try a bounded prompt when appropriate, and record unresolved needs as specific, actionable backlog items.

How would you analyze recurring questions and usage patterns?

What to coverTracking patterns and sharing structured observations with AI Product Strategy leads are stated responsibilities. Suggested preparation: Explain how you would group similar questions, separate observed patterns from assumptions, and recommend which guide, exemplar, or issue merits attention.

Behavioural practice

Tell me about a time you helped a colleague work through an unfamiliar tool or process.

What to coverThe role supports office hours, working sessions, and AI coaching. Suggested preparation: Use a real situation, your actions to understand the question and guide the colleague, and the result, including any follow-up resource you provided.

Describe a time you carried out iterative testing while following a defined process.

What to coverThe posting emphasizes experimentation alongside reliable execution within defined processes. Suggested preparation: Give the situation, how you recorded tests and handled unexpected results, and what the outcome showed.

Tell me about a time you made documentation useful to people in different roles.

What to coverReusable guides and cross-functional documentation are relevant to this position. Suggested preparation: Explain the situation, how you learned what readers needed and revised the material, and the result.

Describe a time you raised a limitation or concern rather than proceeding unchecked.

What to coverThe role involves identifying constraints and escalating them appropriately. Suggested preparation: Share a real situation, the evidence you gathered and how you communicated it, and the resulting decision or next step.

Tell me about a time repeated questions led you to suggest an improvement.

What to coverThe role tracks recurring questions and shares observations with Product Strategy leads. Suggested preparation: State the situation, how you recognized and communicated the pattern, and the result without claiming an impact you cannot substantiate.

02

Sharpen your knowledge

Topics to prepare

  • Structured AI experimentation

    Posting: The role tests and refines prompts across defined use cases. Revision exercise: outline how you would compare two prompt versions using the same test inputs, record results, and decide whether a change improved the output.

  • Output quality and responsible use

    Posting: Outputs must be checked for clarity, consistency, safety, and usability to support responsible AI adoption. Revision exercise: create a four-part review rubric and apply it to a sample AI response, noting any issue that needs further review.

  • Workflow feasibility and boundaries

    Posting: The role helps prototype lightweight AI workflows, assesses feasibility and usage boundaries, and escalates technical constraints. Revision exercise: sketch a simple user-to-output workflow and identify what you would test, what remains uncertain, and what you would escalate.

  • Enablement feedback loops

    Posting: Recurring questions and usage patterns are shared with AI Product Strategy leads. Revision exercise: group a sample set of colleague questions into themes and distinguish a resource request from a potential backlog item.

Skills to revise

  • Run and record prompt tests

    Practice revising a prompt for one defined use case, testing both versions against the same inputs, and recording the observed differences. This reflects the posting’s emphasis on prompt refinement and reliable execution.

  • Test a custom assistant

    Practice setting up a simple custom GPT or AI assistant, then test expected and problematic inputs and document the results. The posting explicitly calls for supporting configuration and testing; no particular platform is specified.

  • Prototype and troubleshoot a workflow

    As a preparation exercise, map and test a lightweight AI workflow, recording where it fails or exceeds its intended boundaries. This mirrors the role’s guided prototyping and constraint-escalation work.

  • Create reusable enablement artifacts

    Turn a tested use case into a concise prompt-library entry with purpose, prompt, example output, limitations, and a short demo outline. The posting calls for prompt libraries, living exemplars, structured guides, and training examples.

  • Translate colleague questions into actions

    Role-play an office-hours question: clarify the request, draft a structured prompt, point to a relevant exemplar, or write a concise backlog item. This reflects the posting’s coaching support and Product Strategy handoff responsibilities.

04

Your preparation checklist

  • Select two relevant experience examples

    The posting asks for 2–5 years in analytics, digital enablement or technology-adjacent work, plus collaborative documentation or analysis. Prepare brief examples showing your role, collaborators, deliverables and results, where applicable.

  • Build a prompt-testing walkthrough

    The role tests prompts for defined use cases and checks clarity, consistency, safety and usability. Prepare a sample test log with an initial prompt, revised versions, output checks and the reason for each change.

  • Sketch a lightweight AI workflow

    The posting includes guided workflow prototyping and testing custom GPTs or AI assistants. As a preparation exercise, diagram a small use case, its test steps, usage boundaries and a technical constraint you would escalate.

  • Create a reusable documentation sample

    The role maintains prompt libraries, living exemplars and structured guides. Draft a one-page use-case entry with its purpose, tested prompt, example output, limitations and notes another colleague could reuse.

  • Rehearse a colleague-support scenario

    The posting describes office hours and translating questions into prompts, resources or Product Strategy backlog items. Practice turning an ambiguous request into clarifying questions, a proposed next action and a concise handoff note.

  • Prepare focused questions for the team

    Ask how the Centre of Excellence defines use cases and output-quality checks, how observations reach Product Strategy leads, and what work is handled under guidance versus escalated.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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