Level

Mastercard

Senior Technical Program Manager

Mastercard is hiring a Senior Technical Program Manager in Pune, India. Level rates it ; you can apply on Mastercard.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • Mastercard has 1,100+ other open roles on Level.
  • Posted in the last few days.

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

Senior Technical Program Manager

Overview
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.

As a Senior Technical Program Manager, you will lead complex cross-functional programs spanning multiple engineering teams, platforms, and stakeholder organizations.

You will drive delivery from concept to production while managing dependencies, risks, schedules, operational readiness, and executive communications.

This role requires strong technical depth, exceptional program leadership, and the ability to influence across engineering, architecture, product, operations, and executive leadership teams.

All About You
Required Qualifications

5-9 years of overall career experience leading large-scale technical programs and has played a TPM role.

Proven experience delivering complex cross-functional initiatives across multiple engineering teams.

Strong understanding of distributed systems, microservices, cloud-native architectures, and event-driven platforms.

Experience managing large migration and modernization programs.

Strong program planning, dependency management, and risk management skills.

Demonstrated ability to influence without authority and drive alignment across organizations.

Strong executive communication and stakeholder management capabilities.

Experience leading production readiness, release governance, and operational execution activities.

Strong analytical and problem-solving skills.

Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

Preferred Qualifications
Experience with cloud platforms (AWS, Azure, or GCP).

Experience with Kubernetes, Docker, CI/CD pipelines, and platform engineering.

Experience with Kafka, MQ, event-driven architectures, and high-volume transaction processing systems.

Knowledge of observability platforms, operational controls, and resiliency patterns.

Experience within financial services, payments, or highly regulated industries.

PMP, SAFe, Scrum, or equivalent certification is a plus.
Role

Drive end-to-end execution of large, complex technology programs.

Establish clear program plans, milestones, dependencies, and success metrics.

Lead planning, execution, release readiness, and production deployment activities.

Manage cross-functional delivery involving Engineering, Product, Architecture,

Security, Infrastructure, and Operations teams.

Ensure predictable delivery outcomes through proactive risk management and
execution discipline.

Develop a strong understanding of platform architecture, technical dependencies, and operational requirements.

Partner with Engineering and Architecture teams to identify delivery risks and mitigation strategies.

Drive technical readiness reviews, architecture reviews, migration programs, and operational preparedness activities.

Coordinate large-scale platform initiatives including cloud migration, resilience improvements, infrastructure modernization, and product launches.

Serve as the single point of accountability for program status, risks, decisions, and escalations.

Build alignment across senior engineering leaders, architects, TPMs, product managers, and business stakeholders.

Drive timely decisions and resolve competing priorities across multiple teams.

Provide concise executive-level status reporting and decision support.

Proactively identify and manage program risks, dependencies, and blockers.

Ensure operational readiness including monitoring, observability, deployment, rollback, and support procedures.

Lead war-room activities during critical incidents and drive post-incident learnings.

Establish governance frameworks and reporting mechanisms to improve delivery predictability.

Mentor TPMs and project leads across the organization.

Promote program management best practices and execution rigor.

Drive a culture of accountability, ownership, transparency, 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.




How we rate this

Senior Technical Program Manager at Mastercard rates 38 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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