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Manager, Product Management

Mastercard
NewPosted yesterday

LOCATION

Pune · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Product ManagementRoadmap PlanningStakeholder ManagementMulti-Tenant Architecture

Job description

Overview

Own the product lifecycle of Mastercard's cloud-native Data and AI platform, which delivers a data mesh architecture to power next-generation, data-driven solutions and services.

What you'll do

  • Define and execute the product roadmap for the 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'll need

  • 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.
  • Deep understanding of both on-prem and cloud data storage (Amazon S3), multi-tenancy and open architecture concepts.
  • 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.

Nice to have

  • Familiarity with AI/ML platforms such as Databricks and Snowflake.
  • Experience in building the core foundation layer of a complex enterprise product.
  • Previous experience as a data engineer or data scientist, especially in building AI/ML solutions for B2B.

Details

  • Location: Pune, India.

Read the full description and apply on the company’s own careers page.

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Manager, Product Management