Manager, Software Engineering | Data & AI Platform

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, Software Engineering | Data & AI Platform 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 Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once. We are looking for a Manager, Software Engineering to lead a growing Pune-based team that builds and runs shared data capabilities. Your first challenge is reliable ingestion of customer and third-party data, while moving established pipelines from manual effort to cloud automation. You will spend 40-50% of your time hands-on. In your first few months you will baseline what the team runs, close the riskiest gaps and deliver the first measurable cut in manual onboarding work. Role - Partner with product management to understand users, shape scope and priorities, and share accountability for outcomes. - Manage and develop engineers: set goals, give regular feedback, run performance reviews, and help attract and grow talent as the team expands. - Own the team's technical direction, reviewing designs, pipeline plans and code, and spend 40-50% of your time hands-on where it counts most. - Own execution across new development and production support, reducing operational load by automating, improving or retiring pipelines. - Set and uphold standards for testing, release, data quality and security, with clear owners, monitoring and service-level objectives for production services; lead major incidents through to root cause. - Plan capacity across employees and contractors, hold vendors to clear deliverables, and work with business operations on customer onboarding. - Communicate progress, risks and decisions to senior leaders, and help the team use AI tools where they genuinely improve speed or quality. All About You - Experience managing engineers, including performance management and career development. - Strong product judgement and a record of shaping what is built, not just delivering it. - Experience running and improving production data pipelines, including moving legacy workloads to the cloud. - Recent hands-on experience with Databricks and AWS or comparable cloud data platforms. - Good knowledge of batch processing, data quality and data governance. - Clear communication across global technical and senior audie