Top Tech Jobs & Startup Jobs in Singapore

Supports regional commercialization and sales expansion of Operational Intelligence products. Responsibilities include identifying customer opportunities and use cases, developing pricing and go-to-market strategies, monitoring adoption metrics, creating customer value narratives, supporting sales enablement, and coordinating cross-functional product initiatives. The role partners with regional and global teams to improve product engagement and align capabilities with market needs.

Build and operate enterprise-scale AI platforms, services, data pipelines, and ML workflows. Responsibilities include data ingestion, feature engineering, model deployment, evaluation, monitoring, governance, cloud migration, CI/CD automation, and observability. Collaborate with data scientists, product teams, and platform engineers to deliver secure, scalable production systems using Python, Spark, SQL, Hadoop tools, and cloud technologies.

Lead Data Scientist developing and maintaining payment-data models to detect fraud, scams, and money laundering across Asia-Pacific. Responsibilities include algorithm research, proof-of-concept development, product prototyping, financial crime model governance, client-facing visualizations, white papers, and regional customer support. The role collaborates with global data science and product teams while building locally tailored capabilities and considering privacy, security, regulation, model accuracy, and performance.

Leads Mastercard’s Advanced Analytics sales strategy across Asia Pacific’s retail and commerce sectors. Develops executive relationships, builds strategic pipelines, originates and closes complex enterprise opportunities, and sells Test & Learn and related analytics solutions. Advises clients on customer acquisition, loyalty, marketing effectiveness, digital transformation, and data-driven growth. Collaborates with account, product, consulting, and customer success teams while representing Mastercard at industry and executive events.

Evaluate and structure high-value customer deals across Southeast Asia. Build financial models, scenario analyses, and business cases; assess risk, profitability, pricing, and investment returns; support negotiations; align commercial agreements with approved financial structures; and advise senior finance, legal, and business stakeholders on strategic opportunities and governance improvements.

Lead SEA East security solutions product strategy and commercial performance. Own roadmap, GTM, pricing, partnerships, adoption, retention, and revenue. Support customer engagements, monitor fraud trends, and coordinate with sales, customer success, and delivery to scale solutions.

Supports Mastercard’s Agent Pay and AI innovation programs across Greater China by coordinating pilots, proofs of concept, prototypes, deployments, client engagements, ecosystem partnerships, and market adoption. Manages project plans, stakeholders, risks, milestones, governance, documentation, and performance metrics. Collaborates with product, engineering, innovation, sales, clients, fintechs, banks, and technology partners to develop AI-powered payment and commerce solutions while considering security, privacy, compliance, responsible AI, and risk.

Leads Mastercard’s Agent Pay product strategy, solution development, ecosystem partnerships, and commercialization across Greater China. Translates global AI and payment capabilities into locally relevant solutions; collaborates with issuers, merchants, fintechs, platforms, and technology partners; guides discovery, pilots, prototypes, and deployments; and influences cross-functional teams across product, engineering, security, risk, compliance, and legal. Drives market adoption, client engagement, strategic partnerships, and scalable AI-powered commerce initiatives.

Lead the design, prototyping, development, deployment, and integration of generative AI solutions, including LLMs and GANs. Provide hands-on technical leadership, guide software development practices, mentor engineers, collaborate with product and research teams, and explore emerging technologies such as multimodal AI, agent automation, and retrieval-augmented generation.