Level

Mastercard

Manager, Product Management

Mastercard is hiring a Manager, Product Management in Pune, India. Level rates it ; you can apply on Level.

AI in this role

Own the product lifecycle and roadmap for cloud-native data and AI platforms at Mastercard.

databricks
product-managementdata-platformsai-platformsroadmap-executioncross-functional-leadership

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

Manager, Product Management

Manager, Product Management – Data and AI Platform
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, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations help individuals, financial institutions, governments, and businesses realize their greatest potential.

OVERVIEW
Mastercard is building a cloud-native data platform to power next-generation, data-driven solutions and services. This platform will deliver a data mesh architecture, advanced technologies, and processes that enable Mastercard to scale and innovate at speed.
We are seeking a seasoned Product Manager to join our Data and AI Platform team. In this role, you will own the product lifecycle—from shaping strategy and defining the roadmap to partnering with engineering for execution. You will collaborate across internal teams and external partners to deliver impactful solutions that align with Mastercard’s vision for Data and AI.

What You’ll Do
• Define and execute the product roadmap for our Data and AI platform, ensuring alignment with business objectives.
• Lead product development through the full lifecycle—from ideation to launch—driving innovation and measurable outcomes.
• Collaborate closely with engineering teams, participating in technical discussions and leading requirement workshops.
• Use data-driven insights to identify performance challenges, prioritize features, and optimize product adoption and revenue.
• Partner with security, compliance, and legal teams to ensure vendor solutions meet Mastercard standards.
• Drive cross-functional engagement and stakeholder alignment across multiple initiatives.

What You Bring
• Several years of experience designing and managing data platform solutions for SaaS businesses, with expertise in multi-tenant architectures and analytics.
• Hands-on experience with AWS, Azure, or Google Cloud, and familiarity with AI/ML platforms such as Databricks and Snowflake (preferred).
• Deep understanding of both on-prem and cloud data storage (Amazon S3), multi-tenancy and open architecture concept is a must have.
• Experience in building core foundation layer of complex enterprise product is an added advantage.
• Previous experience as a data engineer or data scientist is a strong advantage, especially in building AI/ML solutions for B2B.
• Proven track record as a Product Owner in Agile environments, with strong backlog management and prioritization skills.
• Exceptional stakeholder management and communication skills, with the ability to influence at all levels.
•
• Deep understanding of the Data and AI platform landscape, architectural patterns, and emerging technologies.
• Entrepreneurial mindset with a bias for action, ownership, and agility in a fast-paced environment.

Why Join Us?
At Mastercard, you’ll work on cutting-edge data and AI initiatives that shape the future of payments and digital commerce. You’ll have the opportunity to innovate at scale, collaborate with world-class teams, and make a global impact.

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

Manager, Product Management 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Product ManagementData PlatformsAI PlatformsRoadmap ExecutionCross Functional LeadershipDatabricks

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where data platforms was part of your work. What did you do?
  3. Tell me about a project where ai platforms was part of your work. What did you do?
  4. Tell me about a project where roadmap execution was part of your work. What did you do?
  5. Tell me about a project where cross functional leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Data Platforms, AI Platforms, Roadmap Execution, and Cross Functional Leadership. 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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