New opportunity

AI Transformation Specialist

Shopee · Singapore

About this role

Shopee’s Regional People Team is seeking an AI Transformation Specialist in Singapore to identify and roll out AI opportunities in Operations workflows. The team oversees regional HR policy, company-wide initiatives and local HR operations, and is working to improve HR delivery through systems and AI.

Responsibilities

Identify opportunities to improve productivity, quality, cost and risk in Operations workflows using AI. Design and support the rollout of AI use cases, Standard Operating Procedures and playbooks.
Deliver demonstrations, training and onboarding to increase adoption of AI tools. Coordinate cross-functional initiatives, including plans, timelines, follow-ups and status updates.
Gather user feedback and performance data to improve solutions; help define and track KPIs for AI adoption and impact. Support usage guidelines, guardrails and documentation for basic AI governance.

Requirements

Bachelor’s degree or above, preferably in Business Analytics, Statistics, Engineering or a related field, and at least 1 year of experience in HR, Operations, Business Operations, Project Management, Business Analysis or a related function.
Ability to coordinate projects and stakeholders, understand workflows and pain points, define success metrics, and derive actionable insights from data such as spreadsheets and dashboards.
Basic understanding of AI products and concepts, including LLM capabilities, limitations and common business uses, plus strong communication and stakeholder management skills.

Preferred

Exposure to HR domains such as HR business partnering, Talent Acquisition, People Analytics or HR Operations.

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

Skills for this role

AI use case designAI adoptionProject coordinationBusiness analysisData analysisSpreadsheetsDashboardsKPI developmentStakeholder managementTrainingAI governanceLarge Language Models (LLMs)Standard Operating ProceduresHR operations

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Find worthwhile AI opportunities
The role identifies opportunities in Operations workflows against productivity, quality, cost and risk. Be ready to explain how to map a workflow, locate a pain point and define what improvement would mean.
Turn use cases into repeatable operations
The posting calls for designing and supporting AI use-case rollouts, Standard Operating Procedures and playbooks. Focus preparation on how a proposed solution becomes usable in day-to-day work.
Drive adoption across teams
Demonstrations, training, onboarding and cross-functional coordination are explicit duties. Prepare to describe a practical rollout plan with stakeholders, timelines, follow-ups and status updates.
Measure impact and refine solutions
The role collects user feedback and performance data, then helps define and track adoption and impact KPIs. Prepare to connect spreadsheet or dashboard findings to a decision about what to improve.
Support basic AI governance
Usage guidelines, guardrails and documentation are part of the job. Ground preparation in the stated requirement for a basic understanding of LLM capabilities and limitations.

Likely challenges to think through

Choosing value without overlooking risk
A likely challenge is weighing faster workflows or lower cost against quality and risk; the posting does not identify a specific troubled process. Prepare a simple method for comparing candidate use cases across all four stated dimensions.
Moving from a demonstration to sustained use
Training may generate initial interest without making a tool fit an established workflow. Prepare to explain how onboarding, SOPs, user feedback and follow-up measures could work together; this is an inference from the rollout duties, not a reported adoption problem.
Coordinating across regional and local contexts
The Regional People Team governs local HR operations across markets, while this role coordinates cross-functional initiatives. A plausible difficulty is keeping a rollout consistent yet workable for different stakeholders. Prepare to describe how you would clarify owners, timelines and decisions without assuming any particular market-specific constraint.

Practice your answers

Technical practice

How would you identify and prioritise AI opportunities in an Operations workflow?

What to coverThe role calls for finding opportunities across productivity, quality, cost and risk. Suggested preparation: explain how you would map a workflow, identify pain points and compare potential use cases against those four outcomes.

How would you decide whether an LLM is suitable for a proposed People-team task?

What to coverThe posting asks for a basic understanding of LLM capabilities, limitations and business uses. Suggested preparation: discuss what the tool could help with, where its output would need checking, and when a non-AI workflow might be preferable.

How would you take a proposed AI use case from design to rollout?

What to coverThe role includes designing and supporting the rollout of AI use cases for Operations teams. Suggested preparation: outline a small-scale test, criteria for proceeding, and how you would incorporate user input before wider adoption.

What would you put in an SOP or playbook for an AI-assisted workflow?

What to coverThe posting explicitly includes SOPs and playbooks. Suggested preparation: cover when to use the workflow, the steps users should follow, checks on outputs, and how to report problems.

How would you structure a demonstration and onboarding session for an AI tool?

What to coverRunning demonstrations, training and onboarding to increase adoption is a stated duty. Suggested preparation: describe a relevant workflow example, hands-on practice and a way to learn whether participants can use the tool afterward.

Which KPIs would you use to assess AI adoption and impact?

What to coverThe role helps define and track both adoption and impact KPIs. Suggested preparation: distinguish measures of use from measures of productivity, quality, cost or risk, and explain what comparison would make an observed change meaningful.

How would you investigate a dashboard showing high AI-tool usage but little workflow improvement?

What to coverThe posting calls for analysing performance data and deriving actionable insights from spreadsheets or dashboards. Suggested preparation: check metric definitions and data quality, compare outcomes across users or workflows, and use feedback to investigate possible causes.

What basic guardrails would you consider for an AI use case in People Operations?

What to coverSupporting usage guidelines, guardrails and documentation is part of the role. Suggested preparation: address appropriate inputs, review of outputs, user responsibilities and how the guidance would be documented, without assuming a specific company policy.

How would you keep a cross-functional AI rollout on track?

What to coverThe role involves plans, timelines, deliverables, follow-ups and status updates. Suggested preparation: explain how you would record owners and milestones, surface blockers early, and communicate changes to affected teams.

Behavioural practice

Tell me about a time stakeholders had different priorities on a shared initiative.

What to coverCross-functional coordination and stakeholder management are stated requirements. Suggested preparation: use situation, action and result to show how you clarified priorities, secured a decision and kept people informed.

Describe a time you helped others adopt an unfamiliar tool or process.

What to coverThe role includes demonstrations, training and onboarding. Suggested preparation: use situation, action and result to explain how you adapted your explanation to the audience and checked whether it helped.

Tell me about a time user feedback led you to change a solution.

What to coverCollecting feedback to improve AI solutions is a stated duty. Suggested preparation: use situation, action and result to show what you heard, how you assessed it and what changed.

Describe a time you used data to challenge an assumption about a workflow.

What to coverThe posting asks for workflow understanding and actionable insights from data. Suggested preparation: use situation, action and result to explain the initial assumption, your analysis and the decision it informed.

Tell me about a time you had to recover a project deliverable that was slipping.

What to coverManaging timelines, tracking deliverables and following up with stakeholders are stated requirements. Suggested preparation: use situation, action and result to show how you identified the blocker, adjusted the plan and communicated the outcome.

Sharpen your knowledge

Topics to prepare

Operations workflow opportunities
The posting calls for identifying AI opportunities by productivity, quality, cost and risk. For revision, compare two hypothetical Operations workflows against those four dimensions and explain which, if either, merits an AI use case.
LLM capabilities and limitations
Basic understanding of LLM capabilities, limitations and common business uses is required. For revision, take a hypothetical employee-support question and explain where an LLM might help, where its answer needs checking, and when a non-AI workflow is preferable.
Adoption and impact measurement
The role helps define and track KPIs for AI adoption and impact. For revision, distinguish a usage measure from an outcome measure, then propose a baseline and a way to interpret a rise in usage without an improvement in quality.
Basic AI governance
The posting specifies usage guidelines, guardrails and documentation. For revision, review a hypothetical AI-assisted Operations task and identify what users should check, what should be documented, and when an issue should be escalated.
Regional People Team context
The team defines policy, leads company-wide initiatives and governs local HR operations; exposure to HR domains is a plus, not a requirement. As optional preparation, compare how a regional guideline and a local Operations workflow might affect an AI rollout.

Skills to revise

Map a workflow and draft a use case
The role requires understanding workflows and pain points and supporting AI use-case design. Practise mapping a hypothetical Operations process, marking its bottlenecks, and writing a brief use case with an intended improvement and a key risk.
Write an SOP and rollout playbook
The posting explicitly names Standard Operating Procedures and playbooks. Practise drafting a one-page SOP for a hypothetical AI-assisted task, including user steps, checks and what to do when the output is unsuitable.
Analyse spreadsheet and dashboard data
The role requires deriving actionable insights from data such as spreadsheets and dashboards. Practise calculating adoption and outcome measures from a small sample dataset, spotting a missing-data issue, and summarising one warranted next step.
Coordinate stakeholders and deliverables
The posting calls for cross-functional planning, timelines, follow-ups and status updates. Practise creating a short rollout plan with owners and dates, then write a status update that flags a delayed deliverable and the decision needed.
Demonstrate and teach an AI workflow
The role runs demonstrations, training and onboarding to increase adoption. Practise a five-minute demonstration of a hypothetical use case that shows the workflow, an output check, and where users can give feedback.
Turn feedback into an improvement
The posting calls for collecting user feedback and performance data to improve solutions. Practise grouping a small set of hypothetical user comments, comparing them with a KPI, and proposing one change to test.

Your preparation checklist

Map an Operations workflow
The role calls for identifying AI opportunities by productivity, quality, cost and risk. Prepare a clearly hypothetical workflow map showing pain points, a proposed use case and how you would prioritise it.
Walk through a relevant project
Prepare a concise example, if you have one, showing how you tracked deliverables, timelines and stakeholder follow-ups. State your own contribution and the outcome; use a labelled hypothetical exercise if you lack a direct example.
Design a small AI rollout
Draft a sample use-case brief, SOP outline and rollout plan for an Operations team. Include a demonstration, onboarding steps and a way to collect user feedback; present these as your proposal, not Shopee’s process.
Build a sample impact tracker
Use a small illustrative spreadsheet or dashboard to show adoption and impact KPIs, a baseline, and how feedback or performance data would inform an improvement decision.
Explain AI limitations and guardrails
Prepare a short account of a relevant LLM use case, where its outputs could fail, and proposed usage guidelines, review points and documentation. The posting calls for basic AI governance, not a specific framework.
Organise evidence against the requirements
Make a one-page reference sheet covering the stated degree and experience requirements, plus any verifiable examples of workflow analysis, data work, communication and HR-domain exposure. Mark gaps rather than inventing evidence.
Prepare questions for the People team
Ask which Operations workflows are in scope first, how adoption and impact are measured, who owns SOPs and guardrails, and how the regional team coordinates with local HR operations.

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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