Data Quality and Governance Product Manager

Mastercard is hiring a Data Quality and Governance Product Manager for a remote role open to applicants in Ireland. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
This is listed as a remote role.
The posting mentions Databricks, product management and data governance among its tools and skills.
Mastercard has 1,100+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Lead data quality and governance strategy for Small Business Credit Analytics products at Mastercard.

databricks

product-managementdata-governancedata-qualitydata-strategy

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Data Quality and Governance Product Manager

Senior Specialist, Product Management
Data Quality & Governance Product Manager, Small Business Credit Analytics (SBCA)
________________________________________
Overview
Small Business Credit Analytics (SBCA) helps financial institutions make better lending and risk decisions through trusted, data-driven insights. We are seeking a Senior Specialist, Product Management to serve as the Data Quality & Governance Product Manager for the SBCA portfolio. This role will be accountable for establishing data quality standards, governance frameworks, and operational controls that ensure SBCA data is accurate, complete, timely, reliable, and trusted by customers.
The ideal candidate combines strong product management skills with deep data expertise and will partner across Product, Engineering, Data Science, Data Engineering, Operations, and Customer Success teams to drive continuous improvements in data quality and governance.
________________________________________
Role
Own the SBCA Data Quality Strategy and Roadmap
• 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 proactive monitoring and quality controls.
Lead Data Governance & Stewardship
• Define and maintain business definitions, data standards, governance policies, and stewardship processes.
• Ensure consistent metric definitions and data usage practices across SBCA products.
• Partner with Privacy, Legal, Compliance, and Risk teams to support governance requirements.
Drive Operational Excellence
• Monitor the health and performance of SBCA data products and data pipelines.
• Improve observability, monitoring, alerting, and incident management capabilities.
• Track key operational metrics including match rates, data availability, data freshness, SLA attainment, and defect resolution.
• Collaborate with key internal teams to manage and resolve data quality issues including customer-impacting incidents.
Advocate for Customers
• Assess customer and business impact associated with quality issues.
• Translate customer feedback into prioritized roadmap investments.
• Drive measurable improvements in customer trust, adoption, and satisfaction.
Collaborate Across the Organization
• Partner with cross-functional teams including Product Management, Engineering, Data Engineering, Data Science, Operations, Customer Success, and regional teams.
• Lead governance reviews, quality forums, and operational readiness discussions.
• Influence cross-functional stakeholders to align on priorities, ownership, and remediation plans.
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All About You
Product Management Experience
• 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.
Must Have/Required Technical Skills
• Advanced SQL (including the ability to investigate, validate, and troubleshoot data quality issues)
• Knowledge of/experience with data quality platforms and tools, profiling, anomaly detection, drift detection, automated monitoring
• Data quality KPI and scorecard development
• Data pipeline & data architecture understanding
• Analytics & root cause investigation skills
Strongly Preferred Technical Skills
• Knowledge of Databricks , Spark, PySpark, ETL patterns, and vector databases
Preferred Industry Experience
• Financial Services
• Credit Risk Analytics
• Small Business Lending
• Commercial Lending
• Alternative Data
• Analytics and Decisioning Products

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.

How we rate this

Data Quality and Governance Product Manager at Mastercard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Quality and Governance Product Manager is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Dublin, Ireland (One South County) and is marked remote.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementData GovernanceData QualityData StrategyDatabricks

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Tell me about a project where data strategy was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Product Management, Data Governance, Data Quality, Data Strategy, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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