Manager, Software Engineering - Data & AI Platforms (Pimpri Colony)

Job Description

Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, were 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 SummaryManager, Software Engineering - Data & AI PlatformsManager, Software Engineering Data & AI Platforms (L6)________________________________________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, straightforward, 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.________________________________________About Business & Market Insights (B&MI;) Business & Market Insights (B&MI;) is Mastercards data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision-support products. B&MI; builds platforms and products that embed AI, advanced analytics, and scalable data pipelines directly into customer workflowsenabling smarter decisions, faster execution, and measurable business outcomes.________________________________________Overview Mastercard is seeking a Manager, Software Engineering (L6) to lead the design, development, and delivery of data and AI platforms that power analytics, machine learning, and emerging intelligent systems across B&MI.;This role combines people leadership, technical ownership, and cross-functional delivery accountability. You will lead one or more engineering teams responsible for building scalable data pipelines, platform services, and AI-enabled capabilities. In addition to driving execution, you will shape architecture, enforce engineering standards, and ensure solutions meet Mastercards requirements for security, reliability, and governance.This role is ideal for a hands-on engineering leader who can scale teams, shape platform direction, and deliver complex, cross-cutting initiatives in data and AI systems.________________________________________Role & ResponsibilitiesTeam Leadership & Organizational Impact- Lead, coach, and develop a team (or multiple teams) of software and data engineers, driving high performance and continuous growth.- Set clear goals, manage performance, and create development plans aligned to both individual and organizational objectives.- Build a strong engineering culture focused on ownership, quality, accountability, and continuous improvement.- Partner with leadership on hiring, team composition, and long-term organizational planning.________________________________________ Delivery Ownership & Execution - Own the end-to-end delivery of complex initiatives spanning multiple systems, services, or teams.- Partner with Product and stakeholders to define roadmaps, prioritize work, and make tradeoff decisions aligned to business value- Identify dependencies, manage risks, and proactively resolve cross-team blockers to ensure successful outcomes.- Establish execution frameworks (planning, estimation, tracking) that enable predictable and high-quality delivery.________________________________________ Data & AI Platform Engineering - Lead the development of scalable data platforms, pipelines, and AI-enabled systems supporting analytics and machine learning workloads.- Ensure systems are designed for high-throughput data ingestion, transformation, and serving, with strong guarantees around performance, reliability, and data quality.- Drive integration of AI capabilities (e.g., model inference, LLM-based services, feature pipelines) into production systems in collaboration with AI Engineering teams.- Promote platform reuse, standardization, and shared capabilities across teams to enable scale and reduce duplication.________________________________________ Architecture & Technical Leadership - Define and evolve system architecture across data and AI platforms, ensuring alignment with enterprise standards for scalability, security, and maintainability.- Translate complex business and data requirements into robust technical solutions and system designs.- Evaluate new technologies and lead adoption decisions based on business value, technical fit, and long-term sustainability.- Balance near-term delivery pressures with long-term platform strategy and technical debt management.________________________________________ Operational Excellence & Governance - Ensure systems meet Mastercard standards for Our

Keyskills :
JavaPythonData EngineeringData ModelingDistributed SystemsMachine LearningETLELT pipelinesBackend EngineeringLLMbased capabilities