Data Product Manager, Enterprise Data Enablement

Mastercard Inc.; Lusk; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Mastercard Inc. in Ireland is seeking a Data Product Manager to lead the development and adoption of enterprise data products, governed assets, and AI-enabled data practices.

You will partner with data science, data engineering, and product leaders to define strategies, roadmaps, and measurable value, while aligning business, technology, and data perspectives across the organization. The role requires 5+ years in data product management, strong communication, and the ability to drive adoption,

Qualifications

• 5+ years experience in data product management or a related field.
• Ability to define product vision, strategy, and roadmap aligned with customer needs and enterprise reuse.
• Strong communication and collaboration across data science, data engineering, and product teams.

Responsabilités

• Lead the development and adoption of trusted data products and assets that enable innovation, discovery, and business 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.
• Partner with Product and Strategy teams to anticipate business needs and shape what is possible with enterprise data.
• Drive governance, metadata management, and AI/data governance frameworks across Mastercard's data assets.

Connaissances

Product lifecycle

Data governance

Stakeholder management

Cross-functional leadership

Strategic thinking

Description du poste

Mastercard Inc. in Ireland is seeking a Data Product Manager to lead the development and adoption of enterprise data products, governed assets, and AI-enabled data practices.

You will partner with data science, data engineering, and product leaders to define strategies, roadmaps, and measurable value, while aligning business, technology, and data perspectives across the organization. The role requires 5+ years in data product management, strong communication, and the ability to drive adoption,