Senior Product Manager - Technical

data engineering team. As a Senior Product Manager - Technical, you will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the continuous improvement of our data infrastructure.

As a Senior PMT, you will:

Responsible for developing inspiring platform/product visions/shared service, derived from business needs, market opportunities, and technology trends
• Using the Working Backwards method, decomposes business requirements and prioritizes into features and functions that drive the platform/product roadmap
• Works with Technical Program Managers, Developers, UX designers, and internal customers to define the details behind the business requirements
• Collects and shares user stories with engineering teams
• Acts as the voice of the business customer and related market facing product teams.
Responsibilities
• Collaborate with technical team and business stakeholders to decompose business requirements and translate them into technical requirements.
• Coordinates internal forums to collect and identify feature-level development opportunities
• Contributes near-term input (quarterly) for the platform product portfolio and roadmap, prioritizing the backlog while defining the acceptance criteria for user stories
• Recommends trade-off decisions on platform product features/depth of features/backlog items
• Gather feedback from customers and stakeholders and balances the priorities against new feature requests
• Documents technical concepts and decisions to communicate with stakeholders.
• Analyze large datasets. Conduct data quality audits to document and distribute findings.
• Reviews product demo against acceptance criteria for the feature set
• Supports and participates in retrospectives and ensures feedback is reincorporated into the feature iterations.
• Mentors team members
All About You
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong understanding of data warehousing concepts, on-premise ( Hadoop, PostgreSQL, Oracle ), cloud platforms (AWS, Azure, GCP), and data modeling techniques
• Experience with agile methodologies and DevOps practices
• Strong knowledge of SQL and NoSQL databases,Python,Spark along with data integration and transformation tools
• Passion for emerging trends in data, AI/ML, analytics, and digital experiences
• Experience in data product development and shared services capabilities.
• Experience in industries with strong data protection standards and governance policies.
• Strong project management skills and a demonstrated ability to understand complex data concepts.
• Familiarity with industry best practices for collection and data usage
• Outstanding problem-solving skills and the ability to navigate complex data challenges
• Effective communication and collaboration skills to work with both technical and non-technical stakeholders

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.