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From the employer's careers site First seen 4 Nov 2026

Manager, AI & Data Governance – Data Stewardship Analysis & Enablement

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Description

Mastercard's Enterprise Data Governance team is seeking a Manager, AI & Data Governance to enable data governance across the enterprise through a federated stewardship model.

The ideal candidate has hands-on experience running data stewardship processes, turning complex data logic into clear, documented decisions, and influencing stakeholders at all levels to adopt them.

Responsibilities:

  • Triage and research issues submitted to Data Stewardship and drive them to a documented decision.
  • Analyze root causes across source systems, data warehouse logic, and downstream reports.
  • Support stewardship teams by writing and maintaining business glossary terms, critical data elements, classification and transformation logic in the data catalog (Atlan).
  • Keep an accurate, audit-ready intake tracker, with status, dates, decisions and rationale for each item.
  • Prepare agendas, pre-reads and supporting analysis for stewardship meetings.
  • Support the operationalization of Mastercard's federated data stewardship model by building and maintaining playbooks, templates, procedures and job aids.
  • Drive awareness and adoption of data and AI management practices through steward onboarding, training, communications, and forums.

Requirements:

  • Bachelor's degree required; degree in Data Science, Information Technology, Business Administration, or a related field is a plus.
  • 6+ years of experience in data analysis, data governance, data management, data quality or a related field.
  • Strong SQL and Excel skills and comfortable tracing data lineage across systems.
  • CEFR English proficiency: C1 (Advanced) or equivalent.
  • Ability to facilitate meetings, engage with business stakeholders, write clear documentation, and communicate complex data concepts to technical and non-technical audiences.

Skills

Required

Nice to have

  • CDMP
  • Atlan
  • Federated Governance Models
  • Data Stewardship Frameworks
  • Master Data Management Concepts
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