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