Data Quality & Governance Product Lead for SBCA

Mastercard Inc.; Tallaght; On-site; EUR 90,000 - 150,000; Full time

Job summary

Mastercard Inc. seeks a Senior Specialist, Product Management for the SBCA portfolio to own the Data Quality Strategy and Governance. You will collaborate with Product, Engineering, Data Science, Data Engineering, Operations, and Customer Success to drive quality improvements and operational excellence.

You will define standards, KPIs, and stewardship policies, while monitoring data product health and incident management. Strong communication and cross-functional leadership are essential.

Qualifications

• Experience in Product Management, Data Product Management, Data Quality, Data Governance, Analytics, or related disciplines.
• Experience owning complex initiatives that span multiple teams and stakeholders.
• Strong communication, stakeholder management, and prioritization skills.
• Ability to translate technical challenges into business outcomes and product investments.

Responsibilities

• Define and execute the SBCA Data Quality and Governance roadmap.
• Establish data quality standards, KPIs, scorecards, and operational objectives.
• Drive improvements in data accuracy, completeness, consistency, freshness, coverage, and match rates.
• Partner with Engineering and Data teams to implement monitoring and quality controls.
• Lead governance policies and stewardship processes across SBCA products.
• Monitor health and performance of SBCA data products and data pipelines.
• Collaborate with Privacy, Legal, Compliance, and Risk teams on governance requirements.
• Translate customer feedback into prioritized roadmap investments.

Skills

Advanced SQL

Data quality tools

KPI & scorecards

Data pipelines

Root cause analysis

Product Management

Data Governance

Tools

Databricks

Spark

PySpark

ETL patterns

Vector databases

Job description

Mastercard Inc. seeks a Senior Specialist, Product Management for the SBCA portfolio to own the Data Quality Strategy and Governance. You will collaborate with Product, Engineering, Data Science, Data Engineering, Operations, and Customer Success to drive quality improvements and operational excellence.

You will define standards, KPIs, and stewardship policies, while monitoring data product health and incident management. Strong communication and cross-functional leadership are essential.