MastercardSenior Technical Program Manager
Mastercard is hiring a Senior Technical Program Manager in Pune, India. Level rates it ; you can apply on Level.
AI in this role
Lead cross-functional initiatives and program delivery for Mastercard's enterprise AI platform ecosystem and cloud infrastructure.
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 ManagerOverview:The AI Platform Engineering team is responsible for enabling the enterprise adoption of artificial intelligence by building, operating, and evolving shared AI platforms, services, governance capabilities, and operational practices. Our mission is to provide scalable, secure, reliable, and compliant AI infrastructure that empowers teams across Mastercard to accelerate the development and deployment of AI-powered solutions.
As a Senior Technical Program Manager, you will lead the delivery of complex, cross-functional initiatives that support the evolution of Mastercard's AI platform ecosystem. You will partner closely with engineering, product, architecture, infrastructure, security, governance, operations, and business stakeholders to drive alignment, manage dependencies, reduce execution risk, and ensure successful delivery of strategic programs.
This team functions as an enterprise AI Platform Engineering organization, delivering and operating shared capabilities that enable application teams to build and scale AI-powered products across public and private cloud environments.
This role provides the opportunity to help shape and execute the roadmap for Mastercard's next generation AI platform capabilities. Rather than focusing on a single product or application, you will drive programs that span platform engineering, cloud infrastructure, developer enablement, governance, operational excellence, and enterprise adoption.
You will work on challenging problems involving large-scale technology delivery, platform adoption, stakeholder alignment, roadmap execution, operational readiness, governance, and organizational transformation while helping shape Mastercard's long-term AI platform strategy.
About the Role:
As a Senior Technical Program Manager, AI Platform Engineering, you will be responsible for leading large-scale technology initiatives from concept through implementation and operationalization. You will coordinate work across multiple engineering and business organizations, ensuring that strategic priorities are translated into executable plans and delivered successfully.
The ideal candidate combines strong program management expertise with sufficient technical depth to engage effectively with engineers, architects, and technology leaders. You are passionate about execution, organizational effectiveness, continuous improvement, and enabling teams to deliver complex technology solutions at enterprise scale.
Responsibilities:
• Lead complex, cross-functional technology programs from initiation through deployment and operational readiness.
• Develop and maintain integrated delivery plans that account for dependencies, risks, resource requirements, milestones, and evolving business priorities.
• Drive alignment across engineering, product, architecture, infrastructure, security, governance, operations, and business stakeholders.
• Establish clear program objectives, success metrics, execution strategies, and delivery mechanisms.
• Proactively identify, manage, and resolve risks, issues, dependencies, and organizational blockers.
• Serve as the primary point of contact for program status, ensuring stakeholders have timely, accurate, and actionable information.
• Drive effective decision-making by facilitating discussions, evaluating tradeoffs, and escalating issues when necessary.
• Coordinate delivery across multiple teams, ensuring dependencies are understood, managed, and communicated effectively.
• Develop executive-ready communications, dashboards, status updates, presentations, and program reviews.
• Lead planning sessions, steering committees, roadmap reviews, operational reviews, and stakeholder meetings.
• Establish governance, reporting, and operational mechanisms that improve transparency, predictability, and execution effectiveness.
• Partner with engineering teams to improve delivery processes, operating models, planning practices, and cross-functional collaboration.
• Ensure programs meet organizational standards for security, compliance, risk management, operational readiness, and business continuity.
• Utilize metrics and data-driven insights to assess program health, communicate outcomes, and drive continuous improvement.
• Support strategic planning, portfolio management, roadmap development, prioritization, and organizational scaling initiatives.
• Contribute to a culture of accountability, collaboration, operational excellence, and customer focus.
All About You:
Required Qualifications
• Experience leading large-scale technical programs involving multiple engineering teams and business stakeholders.
• Strong experience managing complex cross-functional initiatives within software engineering, infrastructure, cloud, platform engineering, data, or technology organizations.
• Demonstrated ability to build and manage integrated plans, coordinate dependencies, mitigate risks, and drive successful delivery outcomes.
• Experience communicating effectively with both technical and non-technical audiences, including senior leadership and executive stakeholders.
• Strong organizational, analytical, problem-solving, and decision-making skills.
• Experience managing competing priorities and delivering results in fast-paced, evolving environments.
• Ability to influence across organizations without direct authority.
• Experience working with Agile, Scrum, Kanban, or hybrid delivery methodologies.
• Strong written and verbal communication skills, including executive-level presentation and reporting.
• Experience working within highly collaborative, cross-functional technology organizations.
Preferred Qualifications
• Experience supporting cloud platforms, developer platforms, AI/ML platforms, data platforms, infrastructure platforms, or enterprise software systems.
• Familiarity with software engineering concepts, system architecture, cloud computing, and modern technology delivery practices.
• Experience supporting platform adoption, developer enablement, operational excellence, and organizational transformation initiatives.
• Experience establishing delivery governance, operational reviews, portfolio management, or enterprise planning practices.
• Experience working within regulated environments requiring strong security, governance, compliance, and risk management controls.
• PMP, PgMP, Scrum, SAFe, or comparable program management certifications.
• Experience supporting large-scale platform modernization or digital transformation initiatives.
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 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where governance was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where ai platforms was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Program Management, Cloud Infrastructure, Governance, Stakeholder Management, and AI Platforms. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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