New opportunity

Manager, AI Innovation & Ecosystem Programs (Greater China)

Mastercard · Singapore

About this role

Based in Singapore, this full-time manager role supports Mastercard’s Agent Pay and AI innovation agenda across Greater China. The manager coordinates client programs, ecosystem partnerships, solution implementation and market adoption to advance AI-powered payment and commerce experiences.

Responsibilities

Execute Agent Pay and AI innovation initiatives, coordinating pilots, proofs of concept, deployments, demonstrations and client co-innovation. Manage plans, dependencies, stakeholders, risks and milestones across concurrent projects; track adoption metrics, business outcomes and follow-up actions.
Work with the Greater China CSC team to develop relationships with AI companies, fintechs, merchants, banks, technology providers and startups. Identify partnership opportunities and support events, workshops, industry engagement and partner mapping.
Collaborate with product, engineering, innovation and sales teams on prototypes, demonstrations and customer-facing concepts. Support user journeys, payment-flow simulations, AI-agent interaction scenarios and workflow documentation. Translate client and partner requirements into solution recommendations and delivery plans.
Monitor AI, agentic commerce, payments, authentication, digital identity and fintech developments; assess emerging technologies and partnership opportunities. Coordinate regional and global stakeholders, maintain governance and documentation, and address security, privacy, compliance, responsible AI and risk considerations.

Required: Proven experience in product or program management, consulting, digital payments, fintech, AI innovation, technology partnerships or a related area; strong project and stakeholder management; experience delivering initiatives with clients, partners or cross-functional teams; analytical problem-solving, communication and documentation skills; interest in AI and digital commerce; and fluent Mandarin and English. No minimum number of years or education requirement is stated.

Preferred

Experience with payment networks, banks, fintechs, AI startups, digital platforms, technology consulting or innovation labs; familiarity with APIs, AI solutions, digital identity, authentication, wallets, tokenization or payment technologies; experience producing demos, prototypes, presentations, workshops, partner roadmaps or dashboards; and exposure to AI governance, responsible AI, privacy, security, risk or regulated technology environments. Success is measured by program execution, a pipeline of pilots and partnerships, timely governed delivery and measurable outcomes.

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

Skills for this role

Program managementProject managementProduct managementStakeholder managementClient engagementEcosystem partnershipsDigital paymentsFintechAI innovationAgentic commercePrototypingProof of concept developmentUser journey designRequirements gatheringMarket intelligenceData analysisDocumentationAPIsDigital identityAuthenticationDigital walletsTokenizationAI governanceResponsible AIPrivacySecurityRisk managementMandarinEnglish

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

Deliver Agent Pay and AI programs
The role coordinates Greater China pilots, proofs of concept, deployments, demos and client co-innovation. It manages plans, dependencies, risks and milestones across concurrent initiatives, with progress, adoption and business outcomes tracked.
Build an ecosystem pipeline
Working with the Greater China CSC team, the manager develops relationships with AI companies, fintechs, merchants, banks and other partners. Partner mapping, workshops and opportunity assessments support a pipeline of engagements and pilots.
Turn requirements into usable concepts
The role gathers client and partner requirements and works with product, engineering, innovation and sales on prototypes and demos. User journeys, payment-flow simulations and AI-agent scenarios help translate concepts into solution recommendations and delivery plans.
Align delivery with governance
The manager coordinates Greater China, regional and global stakeholders; maintains decision logs and documentation; and gives attention to security, privacy, compliance, responsible AI and risk. The posting measures success partly by timely delivery with clear governance.
Apply market intelligence
The role monitors AI, agentic commerce, payments, authentication and digital identity developments, then shares market and partner insights to inform opportunities relevant to Agent Pay and AI-powered commerce.

Likely challenges to think through

Balancing parallel pilots and measurable results
Preparation hypothesis: demos and proofs of concept may compete for attention while the role is also expected to show adoption and business outcomes. Prepare a way to explain how you would sequence work, manage dependencies and define follow-up measures without treating a completed demo as proof of adoption.
Reconciling local opportunities with wider standards
Preparation hypothesis: a Greater China partner opportunity may move at a different pace from regional or global alignment and governance. Prepare an approach to documenting decisions, escalating trade-offs and keeping stakeholders aligned without assuming a specific approval process.
Making emerging concepts credible and safe
Preparation hypothesis: an AI-agent payment scenario needs to be compelling to clients while accounting for payment flows, authentication, privacy and responsible-AI risks. Prepare to walk through a bounded prototype concept, its assumptions and the checks needed before broader deployment.

Practice your answers

Technical practice

How would you plan and track several concurrent Agent Pay or AI innovation pilots?

What to coverPreparation suggestion: Explain how you would define milestones, dependencies, owners, risks and decision points across clients, partners and internal teams. Describe how you would document changes and communicate progress.

How would you map an AI-agent commerce journey and its payment flow?

What to coverPreparation suggestion: Walk through the user and agent interactions, payment steps and points where authentication or identity may matter. Distinguish what a simulation can demonstrate from what would need validation before deployment.

How would you turn a client's AI-commerce idea into a solution recommendation and delivery plan?

What to coverPreparation suggestion: Cover requirements gathering, workflow documentation, assumptions and alignment with product and engineering teams. Explain how you would resolve unclear requirements before committing to a pilot scope.

How would you decide whether a prototype or proof of concept is ready for a client demonstration?

What to coverPreparation suggestion: Discuss the intended audience, the journey being demonstrated, test evidence and known limitations. Explain the trade-off between moving quickly to learn and presenting a concept clearly without overstating its readiness.

What would you measure to evaluate an AI-payment pilot?

What to coverPreparation suggestion: Connect adoption metrics and business outcomes to the pilot's stated objective, then describe how you would capture follow-up actions. Avoid treating a successful demonstration as proof of market adoption.

How would you assess and map potential Greater China ecosystem partners?

What to coverPreparation suggestion: Compare the relevance and readiness of AI companies, fintechs, merchants, banks or technology providers for a defined opportunity. Explain how partner mapping and workshops could test interest without assuming a partnership will follow.

How would you evaluate an emerging agentic-commerce technology or market development?

What to coverPreparation suggestion: Describe how you would assess its relevance to payments, client needs and market readiness, alongside evidence gaps and risks. Show how you would turn that assessment into a concise recommendation for stakeholders.

How would you incorporate governance into an AI-powered payment initiative?

What to coverPreparation suggestion: Identify where security, privacy, compliance, responsible AI and risk considerations should be raised during planning and delivery. Explain how you would document open questions and involve the appropriate teams rather than claim to make specialist approvals yourself.

What would you investigate if a payment-flow simulation or AI-agent demo failed?

What to coverPreparation suggestion: Describe a structured way to isolate the failing step, reproduce it, record its impact and coordinate a fix with product or engineering. Separate a demonstration issue from a potential security or privacy concern that needs escalation.

When might APIs, authentication, wallets or tokenization affect a proposed solution?

What to coverPreparation suggestion: These technologies are listed as preferred familiarity, not mandatory implementation duties. Explain at a conceptual level how relevant choices could affect the user journey, integration effort and risk, while flagging where technical validation is needed.

Behavioural practice

Tell me about a time you coordinated a business or technology initiative across several teams.

What to coverPreparation suggestion: Use a real situation, your actions to establish ownership and communication, and the result. Highlight how you handled dependencies rather than simply listing stakeholders.

Describe a time a pilot or project milestone was at risk.

What to coverPreparation suggestion: Explain the situation, how you identified and communicated the risk, what you changed, and the result. Be clear about any remaining issue or trade-off.

Give an example of turning an unclear client or partner request into a workable plan.

What to coverPreparation suggestion: Describe the initial ambiguity, the questions and documentation you used, and the resulting decision or delivery outcome. Clarify your own contribution.

Tell me about a time you built a working relationship with an external partner.

What to coverPreparation suggestion: Set out the opportunity, the actions you took to understand mutual priorities, and the result. If it did not lead to a project, explain what you learned and how you followed up.

Describe a time you explained a technical concept to stakeholders with different priorities or language needs.

What to coverPreparation suggestion: Use a real situation, explain how you adapted your communication, and state what decision or shared understanding resulted. The posting calls for fluent Mandarin and English and for explaining technology in business language; do not imply that a particular interview language is prescribed.

Sharpen your knowledge

Topics to prepare

Agent Pay and AI-powered commerce
Map a hypothetical AI-agent purchase from user request to payment and confirmation; identify where user approval or authentication may be needed. The posting explicitly calls for Agent Pay initiatives, AI-agent scenarios and payment-flow simulations.
Multi-initiative program governance
Review how milestones, dependencies, risks, issues and decisions differ, then classify examples from two concurrent pilots. The role explicitly manages these elements and maintains governance across initiatives.
Greater China ecosystem partnerships
Compare the potential contributions of a bank, merchant, fintech and AI company to one hypothetical pilot. The posting names these partner groups and calls for partner mapping and opportunity assessments.
Payment and identity concepts
Sketch where APIs, wallets, authentication, digital identity and tokenization could fit in a payment journey, without assuming a particular architecture. Familiarity with these technologies is preferred, not required.
Responsible delivery and market assessment
For a hypothetical agentic-commerce pilot, list security, privacy, compliance, responsible-AI and risk questions alongside assumptions to validate about market demand. The posting calls for these delivery considerations and for monitoring market developments.

Skills to revise

Build a pilot delivery plan
Draft a one-page plan for a hypothetical client pilot with milestones, owners, dependencies, risks, decisions and follow-up actions. The role explicitly coordinates pilots and concurrent delivery.
Translate requirements into a solution concept
Turn three hypothetical client needs into a user journey, an AI-agent interaction scenario and a short delivery recommendation. These are explicit solution-development activities in the posting.
Assess and map partners
Create a small partner map showing each hypothetical partner’s role, mutual value, open questions and next engagement step. The role supports ecosystem relationships and partnership opportunities.
Report adoption and outcomes
Prepare a sample pilot status summary separating progress, adoption measures, business outcomes and unresolved actions. The posting explicitly requires tracking these for stakeholders.
Explain a concept in Mandarin and English
Practise a brief business-language explanation of the same hypothetical payment-agent pilot in both languages, including its purpose and key risks. Fluent Mandarin and English communication is required.
Storyboard a customer demonstration
Outline a short demo showing the user request, agent interaction, payment step and result; mark what is simulated. The role supports demos and prototypes, while experience creating them is listed as preferred.

Your preparation checklist

Map evidence to the role
The posting asks for program or related experience, stakeholder coordination, analytical communication, and fluent Mandarin and English. Prepare a one-page map of relevant, truthful examples; distinguish direct experience from familiarity with preferred payment and AI technologies.
Build a program-delivery walkthrough
Choose one real client, partner, or cross-functional initiative, if available. Prepare a short walkthrough of its plan, dependencies, risks, decisions, milestones, and outcomes, including any adoption or business metrics you can substantiate.
Practice an Agent Pay pilot design
As a preparation exercise, sketch a hypothetical client pilot: user journey, AI-agent interactions, payment flow, requirements, prototype or demo scope, delivery milestones, and measures of adoption. Label assumptions rather than presenting the design as Mastercard’s process.
Draft a Greater China partner map
The role works with the Greater China CSC team across AI companies, fintechs, merchants, banks, and technology providers. Prepare a sample partner map showing potential collaboration types, evaluation criteria, and workshop questions without asserting that any partnership exists.
Prepare a governance example
Draft a sample decision log and risk register for the hypothetical pilot. Show how you would surface security, privacy, compliance, responsible AI, and delivery concerns to regional and global stakeholders.
Rehearse explanations in both languages
Practice explaining the pilot’s business value, payment flow, and key risks in Mandarin and English, using language suitable for both a client and a technical team.
Write targeted employer questions
Prepare questions about near-term Agent Pay pilot priorities, how the Greater China CSC team coordinates with regional and global teams, how partner opportunities are evaluated, and which adoption and business outcomes matter most.

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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