Search by job, company or skills

Vice President, Software Engineering

Vice President, Software Engineering

Mastercard
Fresher
Not Disclosed
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

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

Vice President, Software Engineering

Consumer Data Management (CDM) is a strategic enterprise platform that manages consumer identity, consent, and engagement across Mastercard's ecosystem. As Mastercard advances toward a modern, AI- and data-centric architecture, CDM enables trusted, compliant, and scalable consumer experiences.

We are seeking a Vice President, Engineering to lead the technology strategy, engineering execution, and operational readiness of CDM across identity, consent lifecycle management, and consumer engagement services. This leader will be accountable for building and scaling secure, resilient, compliant, and reusable platform capabilities that enable Mastercard teams to activate consumer data responsibly and deliver personalized, trusted experiences across channels.

Role

Engineering Strategy & Platform Modernization

  • Define and execute the CDM engineering strategy, evolving identity, consent, consumer data, and engagement services from point solutions into a cohesive, scalable, reusable enterprise platform.
  • Establish architectural direction, engineering standards, and platform guardrails that improve scalability, reliability, security, developer experience, speed of delivery, and reuse.
  • Partner with product, architecture, data, security, privacy, and regional stakeholders to translate business priorities into executable engineering roadmaps with KPIs tied to adoption, resilience, quality, cost efficiency, and platform value.

Architecture, Delivery & Operational Excellence

  • Own end-to-end engineering execution across CDM services, including design, development, testing, release management, production readiness, and ongoing operational support.
  • Ensure CDM platforms are architected and operated for high availability, performance, observability, disaster recovery, security, privacy, regulatory compliance, and SLA commitments.
  • Strengthen engineering practices across API design, distributed systems, event-driven architecture, data governance, automation, CI/CD, quality engineering, incident management, and vulnerability planning/remediation.
  • Lead technical engagement with internal platform consumers, regional teams, enterprise architecture, risk, compliance, and third-party providers to manage dependencies, adoption, service quality, and reliable delivery.
  • Embed privacy-by-design and security-by-design principles across identity, consent, messaging, and consumer data capabilities while building a culture of engineering accountability, operational discipline, and proactive risk management.

All About You


Engineering Leadership & Domain Expertise

  • Extensive experience leading large-scale software engineering organizations, with proven VP/Director+ leadership of distributed, global teams and mission-critical platforms.
  • Deep technical understanding of distributed systems, APIs, data platforms, event-driven architecture, cloud-native engineering, identity systems, consent management, secure consumer data platforms, and third-party platform integrations.
  • Experience operating platforms that require strong privacy, security, compliance, vulnerability management, resilience, observability, SLA management, and production support disciplines.
  • Desirable: experience with customer data platforms, identity resolution, consent and preference management, omnichannel messaging, or engagement platforms such as SMS, RCS, WhatsApp, email, and emerging channels.

Technical Strategy & Execution

  • Ability to translate business, regulatory, and platform strategy into clear engineering priorities, architecture decisions, delivery plans, and measurable outcomes.
  • Strong judgment in balancing modernization, feature delivery, technical debt, platform reuse, control requirements, operational risk, cost pressure, and SLA commitments.
  • Experience improving engineering maturity through automation, quality practices, developer productivity, reusable frameworks, technical governance, operational metrics, and familiarity with agentic AI-powered PDLC/SDLC practices.

Leadership & Influence

  • Proven ability to lead in highly matrixed, global organizations while building alignment across engineering, product, architecture, security, privacy, compliance, operations, business stakeholders, and third-party providers.
  • Strong executive presence and ability to communicate technology strategy, risks, trade-offs, delivery progress, cost implications, and SLA impacts clearly to senior leaders and internal customers, including under pressure.
  • Demonstrated success hiring, developing, mentoring, and retaining senior engineering talent while aligning teams around shared outcomes, quality, resilience, security, customer impact, and continuous improvement.

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.






More Info

Job Type:
Industry:
Employment Type:

Key Skills

third-party platform integrations

consent management

data platforms

secure consumer data platforms

quality practices

privacy security compliance

developer productivity

agentic AI-powered PDLC SDLC practices

reusable frameworks

cloud-native engineering

technical governance

event-driven architecture

observability

operational metrics

About Company

Similar Jobs

Pune, India
Skills:
Json, Sql, Testing, Xml, Apis, Portfolio Management, documentation standards, Governance, Agile delivery, Data Analysis, batch interfaces, asset classes, release processes, investment processes, data-driven solution design
Pune, India
Skills:
technical direction , Software Development, Apis, Microservices, Agile Scrum Methodologies, AI ML Concepts, Staff Development, Budgeting, Secure Development Practices, Performance Appraisals, Resource Planning
Bengaluru, Pune, India
Skills:
Systems development lifecycle (SDLC), IT General Controls (ITGCs), resiliency , Cloud Computing, Cybersecurity, Data Governance, Automation, Interfaces, Change management, Information Security, Automated business processes, Risk assessments, Operational resilience, Audit planning, Infrastructure controls, Application controls, Securities processing, Cash and asset reconciliations, trading platforms, Audit methodology, Access management, Technology risk management, Custody Asset Servicing Reconciliation
1-3 yrs
Pune, India
Skills:
Kotlin, Push Notifications, Ms Office, Continuous Integration, Android Studio, Git-based version control, REST API integration, mobile application quality assurance, Flow for asynchronous programming, MVVM architectural pattern, unit testing practices, Jetpack Compose, Android Jetpack, deep linking implementation, Kotlin Coroutines
Bengaluru, Nagar, Pune, India
Skills:
secure coding , session management , Scrum, Scalability, aws, mysql, Restful Web Services, Test Driven Development, Typescript, Azure, Amqp, postgresql, automation, Design Patterns, Debugging, Kafka, Mqtt, Algorithms, node.js, Web Servers, Rabbitmq, data structures, agile, performance optimization, architecture, Reliability, Caching, microservices architecture