Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Senior Technical Program Manager – ML/AI, Data Science, Data Engineer
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for MasterCard. We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a driven and experienced Technical Program Manager (TPM) to join our growing team. You will bridge the gap between engineering, product, and business stakeholders, fostering clear communication and driving alignment across the organization.
Responsibilities:
• Partner with engineering teams to define scope, break down projects into manageable tasks, and create detailed program roadmaps.
• Develop and implement team plans, including timelines, resource allocation, risk mitigation strategies.
• Proactively identify and manage program risks, dependencies, and roadblocks.
• Use tools like Rally/Jira/Aha to track team progress, analyze key metrics, and communicate program health to stakeholders.
• Facilitate cross-functional collaboration between engineering, product, design, and business teams.
• Conduct PI Planning sessions and make sure that team has all the features and stories defined and estimated properly.
• Translate technical concepts into clear and concise language for non-technical stakeholders.
• Champion agile methodologies and best practices for program management.
• Identify and implement process improvements to enhance program efficiency.
• Stay abreast of industry trends and advancements in program management tools and methodologies.
• Participate in team prioritization discussions with Product/Business stakeholders.
Skills & Experience:
• 3+ years of experience in technical program management or a related field
• Strong understanding of the software development lifecycle (SDLC).
• Experienced in Agile methodologies (e.g., Scrum)
• Excellent communication, collaboration, and interpersonal skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Proficiency in project management tools (e.g., Jira, Rally, Aha).
• Familiarity to Data Science and MLOPs concepts is a plus.
#AI
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:
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