Manager, Applied AI and Data

Posted Yesterday
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Singapore, SGP
Hybrid
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
The role involves embedding AI and machine learning into product offerings, managing AI use cases, and driving customer acquisition strategies for gaming solutions.
Summary Generated by Built In
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Manager, Applied AI and Data
Manager, Applied AI and Data
Gaming Commerce and Digital Goods, Southeast Asia (based in Singapore)
Overview
The Gaming Commerce and Digital Goods (GCDG) team at Mastercard builds gaming-led commercial solutions for banks, super apps, and digital platforms across Southeast Asia. Operating from Singapore with live deployments across credit, debit, loyalty, and gaming platform, GCDG is one of Mastercard's fastest-scaling product teams. The team is investing in applied AI and gaming as a core capability to accelerate product evolution, sharpen partner outcomes, and unlock new customer acquisition pathways for issuers and digital partners across the region.
Role
The Manager, Applied AI and Data is responsible for embedding AI, machine learning, and agentic workflows into GCDG's product suite. The role exists to make the product smarter, the team faster, and the commercial outcomes larger.
- Lead the identification, prioritisation, and deployment of AI use cases across the GCDG product portfolio.
- Design and deploy agentic and machine learning capabilities into live partner deployments, with a focus on personalisation, segmentation, fraud signals, and offer optimisation.
- Own the applied AI agenda for customer acquisition. Build intelligent workflows that combine data to identify, segment, and convert high-value gamer audiences into card and product users.
- Translate AI capability into measurable commercial outcomes including new cardholders acquired, GDV catalysed, incremental card spend, and product adoption.
- Partner with engineering, data science, commercial leads, country teams, and external publisher partners to take ideas from prototype to production.
- Represent GCDG in internal Mastercard forums on AI, data, and emerging product capability.
All About You
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related quantitative field.
- Ten plus years of experience in product management, applied AI, or data roles, with a track record of shipping AI or data-driven capabilities into production.
- Working fluency in modern AI tooling, large language model workflows, and agentic systems. You do not need to train models from scratch, but you must be able to scope, evaluate, and deploy.
- Hands-on experience with data-driven customer acquisition, ideally across financial services, fintech, gaming, or digital platforms.
- Strong commercial instincts. Comfort with revenue, margin, and partner economics. Able to defend both a margin line and a model architecture in the same meeting.
- Direct experience in gaming, esports, or digital entertainment is strongly preferred.
- Familiarity with payments, card products, or loyalty mechanics is a plus.
- Regional market experience is a plus.
- A bias for action, sharp written communication, and the judgement to operate in ambiguous, fast-moving commercial environments.
If you're a hands-on AI and product leader looking to build, scale, and commercialise intelligent solutions in a fast-moving space, this is a rare opportunity to shape the future of gaming and digital commerce in Southeast Asia.
Join a high-growth team at the forefront of applied AI, work with leading partners, and deliver real, measurable impact at scale.
Apply now and help redefine what's possible with AI at Mastercard.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
  • Ten plus years of experience in product management, applied AI, or data roles
  • Working fluency in modern AI tooling and large language model workflows
  • Hands-on experience with data-driven customer acquisition
  • Strong commercial instincts
  • Direct experience in gaming, esports, or digital entertainment
  • Familiarity with payments, card products, or loyalty mechanics
  • Regional market experience

What the Team is Saying

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The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

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Employees engage in a combination of remote and on-site work.

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