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The Manager, Product Management position is responsible for developing inspiring product/platforms for the Transaction Notifications API. This role involves managing new and existing Open API product development priorities, working with cross-functional teams, setting vision and direction for platform design, and identifying innovations for platform products.

Lead Data Scientist role focusing on piloting Generative AI use cases for sales enablement. Responsibilities include collaborating with teams to research and develop AI algorithms, working with data pipelines, building machine learning models, and presenting findings to stakeholders.

The Manager, BizOps at Mastercard is responsible for leading the support transformation by advocating for change, automation, and operational excellence. This role involves partnering with development, operations, and product teams to ensure production readiness, system availability, and deployment automation. The focus is on proactive management, risk mitigation, compliance, and enhancing customer experience through streamlining support activities and aligning operational needs with business priorities.

The Manager, Crypto Flows Product Management will be responsible for supporting key product initiatives for on- and off-ramping between crypto/web3 and fiat, such as Send and card acceptance. They will identify opportunities for enhancements in Mastercard's on- and off-ramping strategy and products to capture additional revenue and lead competitive analysis to ensure Mastercard maintains a competitive market position in the space through innovative products. The role involves collaborating with technical and non-technical stakeholders, driving changes to processes for web3 transactions, and supporting business development for on- and off-ramps.

Manager Software Engineering responsible for technical and engineering leadership, architecture, design, and DevOps methodologies in building FinTech solutions. Must have experience in full stack development, API design, IAM, and cryptography considerations. Should be able to mentor and coach a team of software engineers and collaborate with Architects and Product teams to plan the technical roadmap.

Ensure efficient management and utilization of a digital asset management platform, oversee stakeholder management, prioritize business requirements, maintain platform operations, analyze asset usage, organize metadata, and propose improvements.

Lead a mid-size team of Data Engineers, create and maintain optimal data pipeline architecture, build infrastructure for data extraction and loading, design machine learning production systems, mentor junior team members, analyze and improve existing data platforms, drive innovation in data science and engineering, participate in product development, and continuously innovate to solve business problems.