Senior Data Product Manager, Enterprise Data Enablement

Mastercard Inc.; Tallaght; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Mastercard is seeking a Data Product Manager to lead enterprise data strategy, governance, and the evolution of reusable data products. You will partner with data science, data engineering, and product leaders to align roadmaps with business value and enterprise reuse.

You will drive cross-functional delivery, manage stakeholder expectations, and shape data product opportunities using AI and data-driven insights across regional and global needs.

Qualifications

• Experience managing the full product lifecycle, from discovery and definition through delivery, adoption, measurement, and improvement.

Responsabilités

• Lead the development and adoption of trusted data products and assets that enable innovation, discovery, and business value.
• Partner with data science, data engineering, and product leaders to define strategies and roadmaps that accelerate external product innovation, improve efficiency, and deliver measurable value.
• Align business, technology, infrastructure, and data perspectives to drive successful execution and outcomes.
• Define clear requirements that support business and technical decisions and establish shared priorities.
• Manage stakeholder expectations with a strong customer focus.
• Partner with Product and Strategy teams to anticipate business needs and shape what is possible with enterprise data.
• Identify opportunities to improve data products, operating models, and ways of working through emerging technology, AI, and data-driven insights.

Description du poste

Mastercard is seeking a Data Product Manager to lead enterprise data strategy, governance, and the evolution of reusable data products. You will partner with data science, data engineering, and product leaders to align roadmaps with business value and enterprise reuse.

You will drive cross-functional delivery, manage stakeholder expectations, and shape data product opportunities using AI and data-driven insights across regional and global needs.