Top Tech Jobs & Startup Jobs

Lead the Asia Pacific strategy and go-to-market execution for Mastercard’s Small and Medium Business Services portfolio. Responsibilities include identifying monetizable opportunities, shaping value propositions, pricing, packaging, channels, and service roadmaps; partnering with Product, Sales, Delivery, Analytics, and account teams; improving portfolio governance and execution; developing scalable tools and playbooks; and engaging customers, fintechs, and ecosystem partners.

Build and operate a self-service data commercialization platform spanning web experiences, APIs, cloud infrastructure, lakehouse systems, and automation. Develop scalable data platforms using Python, Spark, Databricks, orchestration, Java, React, and cloud services. Design secure, reliable workflows with observability, access controls, infrastructure as code, CI/CD, and multi-cloud architecture. Collaborate on technical trade-offs and integrate distributed systems, databases, and AI-powered capabilities.

Leads Mastercard’s global Healthcare Services business, defining strategy, identifying market opportunities, developing healthcare offerings, and driving commercialization. Responsibilities include shaping value propositions, pricing, sales enablement, pipeline management, client engagements, partnerships, regional execution, and cross-functional delivery. The role requires deep healthcare expertise, commercial acumen, executive communication, and the ability to translate payer, provider, reimbursement, payment, fraud, and operational challenges into scalable services and measurable business outcomes.

Leads Mastercard’s global SME market expansion strategy, owning growth initiatives, revenue, gross dollar volume, market share, and pipeline outcomes. Identifies priority markets, segments, payment flows, partnerships, and distribution channels; builds investment cases; oversees pilots and commercialization; and scales successful programs globally. Partners with Product, Sales, Marketing, Finance, regional teams, issuers, fintechs, platforms, and ecosystem partners while presenting strategies and performance to executive leadership.

Lead post-sale account ownership for wholesale trade customers: drive implementation, adoption and GDV growth by coordinating internal teams, enabling customers operationally, running business reviews, and identifying expansion opportunities.

Leads the design, development, deployment, and evaluation of machine learning solutions for forecasting, recommendation, fraud, risk, and customer analytics. Defines experimentation and modeling strategies, applies foundation-model embeddings, measures business impact, and partners with cross-functional stakeholders. Mentors data scientists and AI engineers, influences technical direction, supports hiring, and communicates recommendations to senior leadership.

Build and maintain scalable full-stack experimentation and analytics applications using Java, Spring Boot, TypeScript, React, Databricks, and Spark. Develop APIs, backend services, frontend components, and data-processing capabilities; contribute to architecture, testing, deployment, performance optimization, and production support. Collaborate with Product, Data Engineering, QA, and business stakeholders to deliver reliable cloud-native solutions and continuously improve engineering practices.

Supports Mastercard’s billing application and invoicing operations by resolving issues, identifying risks, managing enhancement requests, gathering and documenting business requirements, collaborating with technology teams, validating solutions, maintaining procedures and training materials, and enabling stakeholders through billing systems knowledge and change support.

Leads the design, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendations, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, and mentors data scientists and AI engineers. Contributes to hiring and the technical direction of Mastercard’s AI organization.

Develop Mastercard Services business across Asia Pacific by identifying and advancing acquiring and payment-processing opportunities. Engage clients, shape growth strategies and solution recommendations, support proposals and commercial discussions, and build relationships with banks, processors, fintechs, merchants, and ecosystem partners. Collaborate with consulting, product, account, and regional teams while contributing to pipeline growth, revenue targets, thought leadership, and sales enablement.