Manager, Software Engineering

Mastercard is hiring a Manager, Software Engineering in Pune, India. Level rates it ; you can apply on Level.

AI in this role

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

Overview
The Data Governance and Control team is looking for a Software Engineering Manager to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. (This can change depending on the team you work on. Please revise as necessary.)

Role
• Lead, coach, and develop a high-performing services team, driving a culture of accountability, growth, and continuous improvement.
• Provide strategic and technical leadership across applications, systems, and development methodologies, including designing scalable, high-quality platform solutions and service-oriented architectures.
• Participate and lead feature planning, scoping, estimation and execution to ensure clear priorities, efficient delivery, and alignment with business objectives.
• Serve as a senior technical resource, mentoring engineers, guiding development best practices, and elevating overall team capability.
• Drive the scaling and automation of data platforms and processes across cloud and on-prem environments, with strong expertise in databases, data warehousing, and Data Cataloging.
• Drive best practices, standards, and process improvements within the team.
• Enforce engineering excellence through code reviews, process improvements, and adoption of innovative technologies to handle rapidly growing data sets.
• Own delivery of assigned initiatives, ensuring quality, timeliness, and alignment with organizational goals.
• Collaborate closely with cross-functional stakeholders including product, architecture, operations, and business teams.
• Manage vendor relationships and SOW engagements while ensuring strong performance management, goal alignment, and delivery accountability across the team.

All About You :
• Proven experience leading, coaching, and scaling high-performing software development teams across multiple locations and levels.
• 7–10 years of total professional experience in a Data warehousing, Data analytics or Data Cataloging domain, including 1–3 years of experience managing or leading a team with responsibilities for task allocation, mentoring, and performance feedback.
• Strong ability to collaborate across business units, effectively communicating and partnering with stakeholders at all levels within a global organization.
• Skilled at translating business requirements into technical solutions, working closely with product and engineering teams to drive execution.
• Demonstrated success in developing and executing strategic roadmaps aligned to customer needs and business goals.
• Hands-on full-stack engineering experience within agile, production environments.
• Deep expertise in databases, data warehousing, and Informatica.
• Proven ability to design and implement scalable, high-impact solutions to complex technical challenges.
• Experience building modular architectures, including single-responsibility services and API-driven designs.
• Strong background in automating and scaling complex data pipelines and application architectures, with solid knowledge of web and server-side technologies (microservices); experience with modern OOP languages (e.g., Java) is a plus.
• Passion for analytical problem-solving, combined with strong communication skills and experience with CI/CD practices for large-scale production systems.

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:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

How we rate this

Manager, Software Engineering at Mastercard rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.