Manager, Data Quality

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
Manager, Data Quality
Overview:
Mastercard is seeking a highly skilled and motivated Manager, Data Quality to lead the development of scalable data quality workflows and drive continuous improvement for key products. The ideal candidate will bring a blend of technical expertise, leadership experience, and a passion for building automated, intelligent data validation systems that improve accuracy, reliability, and efficiency across the organization.
This role requires strong collaboration across cross-functional teams, including Product, Data Engineering, Data Science, and Client Services. You will directly manage a team of analysts, mentor them, and set the quality strategy for merchant data used across Mastercard.
Key Responsibilities:
Data Quality Strategy & Ownership -
Lead the design and implementation of scalable data cleansing, enrichment, and validation pipelines for Mastercard's merchant data ecosystem.
Develop data quality standards, metrics, scoring models, and dashboards to proactively measure and track quality improvements.
Own the end-to-end data validation framework for Clarity, Smart Subscription, and related merchant intelligence products.
Workflow Automation & Optimization -
Identify manual workflows in data cleansing, defect triage, validation, and enrichment; implement automated alternatives using Snowflake, Python, and AI/LLM-based solutions.
Build automated rule engines, anomaly detection systems, and ML-enabled data validation checks to improve operational efficiency.
Establish repeatable processes for data remediation, ensuring rapid resolution of data defects with minimal human intervention.
Leadership & Team Management -
Manage and mentor a team of data quality analysts, ensuring consistent delivery, upskilling, and performance excellence.
Provide operational guidance, establish team KPIs, and integrate data quality objectives into overall product goals.
Foster a culture of curiosity, continuous improvement, accountability, and innovation.
Cross-Functional Collaboration -
Work closely with Data Engineering, Product, Data Science teams, and Engineering to identify upstream and downstream data quality issues.
Serve as the subject-matter expert in merchant data to support client-facing teams and internal stakeholders.
Translate business requirements into technical solutions and influence product roadmaps where data quality is a core component.
Data Engineering & Technical Ownership -
Design, review, and optimize SQL transformations, Snowflake pipelines, and merchant data models.
Contribute to version-controlled development using git, CI/CD tooling, and engineering best practices.
Perform root cause analysis of data issues by analyzing ingestion pipelines, ETL/ELT logic, and data contracts.
Quality Governance & Compliance -
Implement data governance best practices, documentation standards, and metadata quality rules.
Ensure processes follow Mastercard's data protection, PCI, compliance, and privacy frameworks.
Maintain comprehensive documentation of rule sets, workflows, lineage, and process changes.
What you bring:
-Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
-Team leadership/people management experience (analysts, data operations, or engineering functions).
-In depth hands-on experience in data quality, data engineering, or analytics.
-Strong experience with SQL (Snowflake preferred), Python, git, and data modeling concepts.
-Proven ability to design and operationalize scalable data workflows and automation processes.
-Excellent communication skills-able to effectively collaborate with technical and non-technical stakeholders.
-Fast learner with a proactive, problem-solving mindset and strong attention to detail.
What sets you apart:
-Experience working with merchant data, payment ecosystems, financial data, or transaction systems.
-Familiarity with AI/LLM models for cleansing, matching, enrichment, or anomaly detection.
-Experience with workflow orchestration (Airflow, ADF, DBT, Step Functions).
-Knowledge of engineering reliability, observability, and data pipeline health monitoring.
-Experience building rule engines, classification systems, entity resolution models, or clustering algorithms.
-Ability to drive cross-team initiatives, influence without authority, and manage ambiguity.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.