Director, Software Engineering

About the role

The Director, Software Engineering leads the design, delivery, and evolution of data platforms, analytics capabilities, and customer-facing solutions for Mastercard's Business Experimentation & Optimization (BEO) program. This role focuses on leading teams responsible for data ingestion, data engineering, and data pipelines, custom analytics, and insight delivery, while partnering closely with Product, Data Science, and Analytics teams.

Responsibilities

• Lead engineering teams responsible for ingesting, transforming, and managing large-scale data assets that power analytics and customer-facing insights.
• Build and scale modern data platforms, APIs, and applications that support experimentation, measurement, reporting, and advanced analytics use cases.
• Partner closely with Product, Data Science, and Analytics teams to translate business needs into scalable technical solutions.
• Lead modernization efforts leveraging cloud technologies, AI-enabled workflows, and automation to improve speed, quality, and customer outcomes.
• Champion improvements in developer experience, engineering tooling, and best practices, including the adoption of AI to improve productivity and engineering effectiveness.
• Lead, coach, and develop engineers and engineering managers across global, cross-functional teams.
• Identify, assess, and mitigate technical risks in collaboration with senior technology leaders.
• Foster a culture of innovation, experimentation, and continuous technical learning.
• Set high standards for engineering excellence and elevate team performance.
• Navigate complex cross-team dependencies and drive alignment across stakeholders.
• Engage and influence senior stakeholders on technology direction and product decisions.
• Promote agile ways of working and enable teams to adapt quickly to changing priorities and insights.
• Anticipate and plan for future scaling needs aligned with business growth and customer demand.

Requirements

Proven experience as an Engineering leader in an agile, production-scale environment. Experience leading multiple engineering teams and developing engineering leaders in a global, distributed setup. Strong track record of defining architecture, design, and delivery of large-scale, multi-team systems. Hands-on familiarity with full-stack, data, and cloud technologies such as Databricks, AWS (Data Services + Agentic/ML Services including EMR, Agent Core, Bedrock etc), .NET/C#, Java, Spring Boot, React, Python, Spark, or similar. Strong technical foundation with ability to quickly learn and adopt new technologies. Relentless focus on customer value, business outcomes, and delivery excellence. Experience improving engineering organizations, structures, and delivery processes at scale. Ability to influence across teams, functions, and geographies to drive technical alignment. Proven success leading distributed global teams across multiple regions. Strong understanding of SDLC methodologies (Scrum, Kanban, SAFe) and when to apply them. Proven ability to build, mentor, and retain high-performing engineering leaders Excellent communication and storytelling skills, with the ability to influence executive, business, and technical stakeholders. Strong analytical thinking and decision-making capabilities in ambiguous and complex environments. Bachelor’s degree in engineering, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.